Instruction and logic for tracking fetch performance bottlenecks

ABSTRACT

A processor includes a front end, an execution unit, a retirement stage, a counter, and a performance monitoring unit. The front end includes logic to receive an event instruction to enable supervision of a front end event that will delay execution of instructions. The execution unit includes logic to set a register with parameters for supervision of the front end event. The front end further includes logic to receive a candidate instruction and match the candidate instruction to the front end event. The counter includes logic to generate the front end event upon retirement of the candidate instruction.

FIELD OF THE INVENTION

The present disclosure pertains to the field of processing logic,microprocessors, and associated instruction set architecture that, whenexecuted by the processor or other processing logic, perform logical,mathematical, or other functional operations.

DESCRIPTION OF RELATED ART

Multiprocessor systems are becoming more and more common. Applicationsof multiprocessor systems include dynamic domain partitioning all theway down to desktop computing. In order to take advantage ofmultiprocessor systems, code to be executed may be separated intomultiple threads for execution by various processing entities. Eachthread may be executed in parallel with one another. Furthermore, inorder to increase the utility of a processing entity, out-of-orderexecution may be employed. Out-of-order execution may executeinstructions as input to such instructions is made available. Thus, aninstruction that appears later in a code sequence may be executed beforean instruction appearing earlier in a code sequence.

DESCRIPTION OF THE FIGURES

Embodiments are illustrated by way of example and not limitation in theFigures of the accompanying drawings:

FIG. 1A is a block diagram of an exemplary computer system formed with aprocessor that may include execution units to execute an instruction, inaccordance with embodiments of the present disclosure;

FIG. 1B illustrates a data processing system, in accordance withembodiments of the present disclosure;

FIG. 1C illustrates other embodiments of a data processing system forperforming text string comparison operations;

FIG. 2 is a block diagram of the micro-architecture for a processor thatmay include logic circuits to perform instructions, in accordance withembodiments of the present disclosure;

FIG. 3A illustrates various packed data type representations inmultimedia registers, in accordance with embodiments of the presentdisclosure;

FIG. 3B illustrates possible in-register data storage formats, inaccordance with embodiments of the present disclosure;

FIG. 3C illustrates various signed and unsigned packed data typerepresentations in multimedia registers, in accordance with embodimentsof the present disclosure;

FIG. 3D illustrates an embodiment of an operation encoding format;

FIG. 3E illustrates another possible operation encoding format havingforty or more bits, in accordance with embodiments of the presentdisclosure;

FIG. 3F illustrates yet another possible operation encoding format, inaccordance with embodiments of the present disclosure;

FIG. 4A is a block diagram illustrating an in-order pipeline and aregister renaming stage, out-of-order issue/execution pipeline, inaccordance with embodiments of the present disclosure;

FIG. 4B is a block diagram illustrating an in-order architecture coreand a register renaming logic, out-of-order issue/execution logic to beincluded in a processor, in accordance with embodiments of the presentdisclosure;

FIG. 5A is a block diagram of a processor, in accordance withembodiments of the present disclosure;

FIG. 5B is a block diagram of an example implementation of a core, inaccordance with embodiments of the present disclosure;

FIG. 6 is a block diagram of a system, in accordance with embodiments ofthe present disclosure;

FIG. 7 is a block diagram of a second system, in accordance withembodiments of the present disclosure;

FIG. 8 is a block diagram of a third system in accordance withembodiments of the present disclosure;

FIG. 9 is a block diagram of a system-on-a-chip, in accordance withembodiments of the present disclosure;

FIG. 10 illustrates a processor containing a central processing unit anda graphics processing unit which may perform at least one instruction,in accordance with embodiments of the present disclosure;

FIG. 11 is a block diagram illustrating the development of IP cores, inaccordance with embodiments of the present disclosure;

FIG. 12 illustrates how an instruction of a first type may be emulatedby a processor of a different type, in accordance with embodiments ofthe present disclosure;

FIG. 13 illustrates a block diagram contrasting the use of a softwareinstruction converter to convert binary instructions in a sourceinstruction set to binary instructions in a target instruction set, inaccordance with embodiments of the present disclosure;

FIG. 14 is a block diagram of an instruction set architecture of aprocessor, in accordance with embodiments of the present disclosure;

FIG. 15 is a more detailed block diagram of an instruction setarchitecture of a processor, in accordance with embodiments of thepresent disclosure;

FIG. 16 is a block diagram of an execution pipeline for an instructionset architecture of a processor, in accordance with embodiments of thepresent disclosure;

FIG. 17 is a block diagram of an electronic device for utilizing aprocessor, in accordance with embodiments of the present disclosure;

FIG. 18 is a block diagram of a portion of a system for trackingperformance bottlenecks, according to embodiments of the presentdisclosure;

FIG. 19 is an illustration of an example model-specific register forfront end event tracking, according to embodiments of the presentdisclosure;

FIG. 20 is an illustration of example operation of a system to trackfront end bottlenecks, according to embodiments of the presentdisclosure;

FIG. 21 is an illustration of a latency counter, according toembodiments of the present disclosure; and

FIG. 22 is a flowchart of a method for tracking entry and exit tomonitored regions of memory, according to embodiments of the presentdisclosure.

DETAILED DESCRIPTION

The following description describes an instruction and processing logicfor tracking performance bottlenecks in association with a processor,virtual processor, package, computer system, or other processingapparatus. In one embodiment, such bottlenecks may be associated withthe fetching of instructions. In the following description, numerousspecific details such as processing logic, processor types,micro-architectural conditions, events, enablement mechanisms, and thelike are set forth in order to provide a more thorough understanding ofembodiments of the present disclosure. It will be appreciated, however,by one skilled in the art that the embodiments may be practiced withoutsuch specific details. Additionally, some well-known structures,circuits, and the like have not been shown in detail to avoidunnecessarily obscuring embodiments of the present disclosure.

Although the following embodiments are described with reference to aprocessor, other embodiments are applicable to other types of integratedcircuits and logic devices. Similar techniques and teachings ofembodiments of the present disclosure may be applied to other types ofcircuits or semiconductor devices that may benefit from higher pipelinethroughput and improved performance. The teachings of embodiments of thepresent disclosure are applicable to any processor or machine thatperforms data manipulations. However, the embodiments are not limited toprocessors or machines that perform 512-bit, 256-bit, 128-bit, 64-bit,32-bit, or 16-bit data operations and may be applied to any processorand machine in which manipulation or management of data may beperformed. In addition, the following description provides examples, andthe accompanying drawings show various examples for the purposes ofillustration. However, these examples should not be construed in alimiting sense as they are merely intended to provide examples ofembodiments of the present disclosure rather than to provide anexhaustive list of all possible implementations of embodiments of thepresent disclosure.

Although the below examples describe instruction handling anddistribution in the context of execution units and logic circuits, otherembodiments of the present disclosure may be accomplished by way of adata or instructions stored on a machine-readable, tangible medium,which when performed by a machine cause the machine to perform functionsconsistent with at least one embodiment of the disclosure. In oneembodiment, functions associated with embodiments of the presentdisclosure are embodied in machine-executable instructions. Theinstructions may be used to cause a general-purpose or special-purposeprocessor that may be programmed with the instructions to perform thesteps of the present disclosure. Embodiments of the present disclosuremay be provided as a computer program product or software which mayinclude a machine or computer-readable medium having stored thereoninstructions which may be used to program a computer (or otherelectronic devices) to perform one or more operations according toembodiments of the present disclosure. Furthermore, steps of embodimentsof the present disclosure might be performed by specific hardwarecomponents that contain fixed-function logic for performing the steps,or by any combination of programmed computer components andfixed-function hardware components.

Instructions used to program logic to perform embodiments of the presentdisclosure may be stored within a memory in the system, such as DRAM,cache, flash memory, or other storage. Furthermore, the instructions maybe distributed via a network or by way of other computer-readable media.Thus a machine-readable medium may include any mechanism for storing ortransmitting information in a form readable by a machine (e.g., acomputer), but is not limited to, floppy diskettes, optical disks,Compact Discs, Read-Only Memory (CD-ROMs), and magneto-optical disks,Read-Only Memory (ROMs), Random Access Memory (RAM), ErasableProgrammable Read-Only Memory (EPROM), Electrically ErasableProgrammable Read-Only Memory (EEPROM), magnetic or optical cards, flashmemory, or a tangible, machine-readable storage used in the transmissionof information over the Internet via electrical, optical, acoustical orother forms of propagated signals (e.g., carrier waves, infraredsignals, digital signals, etc.). Accordingly, the computer-readablemedium may include any type of tangible machine-readable medium suitablefor storing or transmitting electronic instructions or information in aform readable by a machine (e.g., a computer).

A design may go through various stages, from creation to simulation tofabrication. Data representing a design may represent the design in anumber of manners. First, as may be useful in simulations, the hardwaremay be represented using a hardware description language or anotherfunctional description language. Additionally, a circuit level modelwith logic and/or transistor gates may be produced at some stages of thedesign process. Furthermore, designs, at some stage, may reach a levelof data representing the physical placement of various devices in thehardware model. In cases wherein some semiconductor fabricationtechniques are used, the data representing the hardware model may be thedata specifying the presence or absence of various features on differentmask layers for masks used to produce the integrated circuit. In anyrepresentation of the design, the data may be stored in any form of amachine-readable medium. A memory or a magnetic or optical storage suchas a disc may be the machine-readable medium to store informationtransmitted via optical or electrical wave modulated or otherwisegenerated to transmit such information. When an electrical carrier waveindicating or carrying the code or design is transmitted, to the extentthat copying, buffering, or retransmission of the electrical signal isperformed, a new copy may be made. Thus, a communication provider or anetwork provider may store on a tangible, machine-readable medium, atleast temporarily, an article, such as information encoded into acarrier wave, embodying techniques of embodiments of the presentdisclosure.

In modern processors, a number of different execution units may be usedto process and execute a variety of code and instructions. Someinstructions may be quicker to complete while others may take a numberof clock cycles to complete. The faster the throughput of instructions,the better the overall performance of the processor. Thus it would beadvantageous to have as many instructions execute as fast as possible.However, there may be certain instructions that have greater complexityand require more in terms of execution time and processor resources,such as floating point instructions, load/store operations, data moves,etc.

As more computer systems are used in internet, text, and multimediaapplications, additional processor support has been introduced overtime. In one embodiment, an instruction set may be associated with oneor more computer architectures, including data types, instructions,register architecture, addressing modes, memory architecture, interruptand exception handling, and external input and output (I/O).

In one embodiment, the instruction set architecture (ISA) may beimplemented by one or more micro-architectures, which may includeprocessor logic and circuits used to implement one or more instructionsets. Accordingly, processors with different micro-architectures mayshare at least a portion of a common instruction set. For example,Intel® Pentium 4 processors, Intel® Core™ processors, and processorsfrom Advanced Micro Devices, Inc. of Sunnyvale Calif. implement nearlyidentical versions of the x86 instruction set (with some extensions thathave been added with newer versions), but have different internaldesigns. Similarly, processors designed by other processor developmentcompanies, such as ARM Holdings, Ltd., MIPS, or their licensees oradopters, may share at least a portion a common instruction set, but mayinclude different processor designs. For example, the same registerarchitecture of the ISA may be implemented in different ways indifferent micro-architectures using new or well-known techniques,including dedicated physical registers, one or more dynamicallyallocated physical registers using a register renaming mechanism (e.g.,the use of a Register Alias Table (RAT), a Reorder Buffer (ROB) and aretirement register file. In one embodiment, registers may include oneor more registers, register architectures, register files, or otherregister sets that may or may not be addressable by a softwareprogrammer.

An instruction may include one or more instruction formats. In oneembodiment, an instruction format may indicate various fields (number ofbits, location of bits, etc.) to specify, among other things, theoperation to be performed and the operands on which that operation willbe performed. In a further embodiment, some instruction formats may befurther defined by instruction templates (or sub-formats). For example,the instruction templates of a given instruction format may be definedto have different subsets of the instruction format's fields and/ordefined to have a given field interpreted differently. In oneembodiment, an instruction may be expressed using an instruction format(and, if defined, in a given one of the instruction templates of thatinstruction format) and specifies or indicates the operation and theoperands upon which the operation will operate.

Scientific, financial, auto-vectorized general purpose, RMS(recognition, mining, and synthesis), and visual and multimediaapplications (e.g., 2D/3D graphics, image processing, videocompression/decompression, voice recognition algorithms and audiomanipulation) may require the same operation to be performed on a largenumber of data items. In one embodiment, Single Instruction MultipleData (SIMD) refers to a type of instruction that causes a processor toperform an operation on multiple data elements. SIMD technology may beused in processors that may logically divide the bits in a register intoa number of fixed-sized or variable-sized data elements, each of whichrepresents a separate value. For example, in one embodiment, the bits ina 64-bit register may be organized as a source operand containing fourseparate 16-bit data elements, each of which represents a separate16-bit value. This type of data may be referred to as ‘packed’ data typeor ‘vector’ data type, and operands of this data type may be referred toas packed data operands or vector operands. In one embodiment, a packeddata item or vector may be a sequence of packed data elements storedwithin a single register, and a packed data operand or a vector operandmay a source or destination operand of a SIMD instruction (or ‘packeddata instruction’ or a ‘vector instruction’). In one embodiment, a SIMDinstruction specifies a single vector operation to be performed on twosource vector operands to generate a destination vector operand (alsoreferred to as a result vector operand) of the same or different size,with the same or different number of data elements, and in the same ordifferent data element order.

SIMD technology, such as that employed by the Intel® Core™ processorshaving an instruction set including x86, MMX™, Streaming SIMD Extensions(SSE), SSE2, SSE3, SSE4.1, and SSE4.2 instructions, ARM processors, suchas the ARM Cortex® family of processors having an instruction setincluding the Vector Floating Point (VFP) and/or NEON instructions, andMIPS processors, such as the Loongson family of processors developed bythe Institute of Computing Technology (ICT) of the Chinese Academy ofSciences, has enabled a significant improvement in applicationperformance (Core™ and MMX™ are registered trademarks or trademarks ofIntel Corporation of Santa Clara, Calif.).

In one embodiment, destination and source registers/data may be genericterms to represent the source and destination of the corresponding dataor operation. In some embodiments, they may be implemented by registers,memory, or other storage areas having other names or functions thanthose depicted. For example, in one embodiment, “DEST1” may be atemporary storage register or other storage area, whereas “SRC1” and“SRC2” may be a first and second source storage register or otherstorage area, and so forth. In other embodiments, two or more of the SRCand DEST storage areas may correspond to different data storage elementswithin the same storage area (e.g., a SIMD register). In one embodiment,one of the source registers may also act as a destination register by,for example, writing back the result of an operation performed on thefirst and second source data to one of the two source registers servingas a destination registers.

FIG. 1A is a block diagram of an exemplary computer system formed with aprocessor that may include execution units to execute an instruction, inaccordance with embodiments of the present disclosure. System 100 mayinclude a component, such as a processor 102 to employ execution unitsincluding logic to perform algorithms for process data, in accordancewith the present disclosure, such as in the embodiment described herein.System 100 may be representative of processing systems based on thePENTIUM® III, PENTIUM® 4, Xeon™, Itanium®, XScale™ and/or StrongARM™microprocessors available from Intel Corporation of Santa Clara, Calif.,although other systems (including PCs having other microprocessors,engineering workstations, set-top boxes and the like) may also be used.In one embodiment, sample system 100 may execute a version of theWINDOWS™ operating system available from Microsoft Corporation ofRedmond, Wash., although other operating systems (UNIX and Linux forexample), embedded software, and/or graphical user interfaces, may alsobe used. Thus, embodiments of the present disclosure are not limited toany specific combination of hardware circuitry and software.

Embodiments are not limited to computer systems. Embodiments of thepresent disclosure may be used in other devices such as handheld devicesand embedded applications. Some examples of handheld devices includecellular phones, Internet Protocol devices, digital cameras, personaldigital assistants (PDAs), and handheld PCs. Embedded applications mayinclude a micro controller, a digital signal processor (DSP), system ona chip, network computers (NetPC), set-top boxes, network hubs, widearea network (WAN) switches, or any other system that may perform one ormore instructions in accordance with at least one embodiment.

Computer system 100 may include a processor 102 that may include one ormore execution units 108 to perform an algorithm to perform at least oneinstruction in accordance with one embodiment of the present disclosure.One embodiment may be described in the context of a single processordesktop or server system, but other embodiments may be included in amultiprocessor system. System 100 may be an example of a ‘hub’ systemarchitecture. System 100 may include a processor 102 for processing datasignals. Processor 102 may include a complex instruction set computer(CISC) microprocessor, a reduced instruction set computing (RISC)microprocessor, a very long instruction word (VLIW) microprocessor, aprocessor implementing a combination of instruction sets, or any otherprocessor device, such as a digital signal processor, for example. Inone embodiment, processor 102 may be coupled to a processor bus 110 thatmay transmit data signals between processor 102 and other components insystem 100. The elements of system 100 may perform conventionalfunctions that are well known to those familiar with the art.

In one embodiment, processor 102 may include a Level 1 (L1) internalcache memory 104. Depending on the architecture, the processor 102 mayhave a single internal cache or multiple levels of internal cache. Inanother embodiment, the cache memory may reside external to processor102. Other embodiments may also include a combination of both internaland external caches depending on the particular implementation andneeds. Register file 106 may store different types of data in variousregisters including integer registers, floating point registers, statusregisters, and instruction pointer register.

Execution unit 108, including logic to perform integer and floatingpoint operations, also resides in processor 102. Processor 102 may alsoinclude a microcode (ucode) ROM that stores microcode for certainmacroinstructions. In one embodiment, execution unit 108 may includelogic to handle a packed instruction set 109. By including the packedinstruction set 109 in the instruction set of a general-purposeprocessor 102, along with associated circuitry to execute theinstructions, the operations used by many multimedia applications may beperformed using packed data in a general-purpose processor 102. Thus,many multimedia applications may be accelerated and executed moreefficiently by using the full width of a processor's data bus forperforming operations on packed data. This may eliminate the need totransfer smaller units of data across the processor's data bus toperform one or more operations one data element at a time.

Embodiments of an execution unit 108 may also be used in microcontrollers, embedded processors, graphics devices, DSPs, and othertypes of logic circuits. System 100 may include a memory 120. Memory 120may be implemented as a Dynamic Random Access Memory (DRAM) device, aStatic Random Access Memory (SRAM) device, flash memory device, or othermemory device. Memory 120 may store instructions and/or data representedby data signals that may be executed by processor 102.

A system logic chip 116 may be coupled to processor bus 110 and memory120. System logic chip 116 may include a memory controller hub (MCH).Processor 102 may communicate with MCH 116 via a processor bus 110. MCH116 may provide a high bandwidth memory path 118 to memory 120 forinstruction and data storage and for storage of graphics commands, dataand textures. MCH 116 may direct data signals between processor 102,memory 120, and other components in system 100 and to bridge the datasignals between processor bus 110, memory 120, and system I/O 122. Insome embodiments, the system logic chip 116 may provide a graphics portfor coupling to a graphics controller 112. MCH 116 may be coupled tomemory 120 through a memory interface 118. Graphics card 112 may becoupled to MCH 116 through an Accelerated Graphics Port (AGP)interconnect 114.

System 100 may use a proprietary hub interface bus 122 to couple MCH 116to I/O controller hub (ICH) 130. In one embodiment, ICH 130 may providedirect connections to some I/O devices via a local I/O bus. The localI/O bus may include a high-speed I/O bus for connecting peripherals tomemory 120, chipset, and processor 102. Examples may include the audiocontroller, firmware hub (flash BIOS) 128, wireless transceiver 126,data storage 124, legacy I/O controller containing user input andkeyboard interfaces, a serial expansion port such as Universal SerialBus (USB), and a network controller 134. Data storage device 124 maycomprise a hard disk drive, a floppy disk drive, a CD-ROM device, aflash memory device, or other mass storage device.

For another embodiment of a system, an instruction in accordance withone embodiment may be used with a system on a chip. One embodiment of asystem on a chip comprises of a processor and a memory. The memory forone such system may include a flash memory. The flash memory may belocated on the same die as the processor and other system components.Additionally, other logic blocks such as a memory controller or graphicscontroller may also be located on a system on a chip.

FIG. 1B illustrates a data processing system 140 which implements theprinciples of embodiments of the present disclosure. It will be readilyappreciated by one of skill in the art that the embodiments describedherein may operate with alternative processing systems without departurefrom the scope of embodiments of the disclosure.

Computer system 140 comprises a processing core 159 for performing atleast one instruction in accordance with one embodiment. In oneembodiment, processing core 159 represents a processing unit of any typeof architecture, including but not limited to a CISC, a RISC or aVLIW-type architecture. Processing core 159 may also be suitable formanufacture in one or more process technologies and by being representedon a machine-readable media in sufficient detail, may be suitable tofacilitate said manufacture.

Processing core 159 comprises an execution unit 142, a set of registerfiles 145, and a decoder 144. Processing core 159 may also includeadditional circuitry (not shown) which may be unnecessary to theunderstanding of embodiments of the present disclosure. Execution unit142 may execute instructions received by processing core 159. Inaddition to performing typical processor instructions, execution unit142 may perform instructions in packed instruction set 143 forperforming operations on packed data formats. Packed instruction set 143may include instructions for performing embodiments of the disclosureand other packed instructions. Execution unit 142 may be coupled toregister file 145 by an internal bus. Register file 145 may represent astorage area on processing core 159 for storing information, includingdata. As previously mentioned, it is understood that the storage areamay store the packed data might not be critical. Execution unit 142 maybe coupled to decoder 144. Decoder 144 may decode instructions receivedby processing core 159 into control signals and/or microcode entrypoints. In response to these control signals and/or microcode entrypoints, execution unit 142 performs the appropriate operations. In oneembodiment, the decoder may interpret the opcode of the instruction,which will indicate what operation should be performed on thecorresponding data indicated within the instruction.

Processing core 159 may be coupled with bus 141 for communicating withvarious other system devices, which may include but are not limited to,for example, Synchronous Dynamic Random Access Memory (SDRAM) control146, Static Random Access Memory (SRAM) control 147, burst flash memoryinterface 148, Personal Computer Memory Card International Association(PCMCIA)/Compact Flash (CF) card control 149, Liquid Crystal Display(LCD) control 150, Direct Memory Access (DMA) controller 151, andalternative bus master interface 152. In one embodiment, data processingsystem 140 may also comprise an I/O bridge 154 for communicating withvarious I/O devices via an I/O bus 153. Such I/O devices may include butare not limited to, for example, Universal AsynchronousReceiver/Transmitter (UART) 155, Universal Serial Bus (USB) 156,Bluetooth wireless UART 157 and I/O expansion interface 158.

One embodiment of data processing system 140 provides for mobile,network and/or wireless communications and a processing core 159 thatmay perform SIMD operations including a text string comparisonoperation. Processing core 159 may be programmed with various audio,video, imaging and communications algorithms including discretetransformations such as a Walsh-Hadamard transform, a fast Fouriertransform (FFT), a discrete cosine transform (DCT), and their respectiveinverse transforms; compression/decompression techniques such as colorspace transformation, video encode motion estimation or video decodemotion compensation; and modulation/demodulation (MODEM) functions suchas pulse coded modulation (PCM).

FIG. 1C illustrates other embodiments of a data processing system thatperforms SIMD text string comparison operations. In one embodiment, dataprocessing system 160 may include a main processor 166, a SIMDcoprocessor 161, a cache memory 167, and an input/output system 168.Input/output system 168 may optionally be coupled to a wirelessinterface 169. SIMD coprocessor 161 may perform operations includinginstructions in accordance with one embodiment. In one embodiment,processing core 170 may be suitable for manufacture in one or moreprocess technologies and by being represented on a machine-readablemedia in sufficient detail, may be suitable to facilitate themanufacture of all or part of data processing system 160 includingprocessing core 170.

In one embodiment, SIMD coprocessor 161 comprises an execution unit 162and a set of register files 164. One embodiment of main processor 165comprises a decoder 165 to recognize instructions of instruction set 163including instructions in accordance with one embodiment for executionby execution unit 162. In other embodiments, SIMD coprocessor 161 alsocomprises at least part of decoder 165 to decode instructions ofinstruction set 163. Processing core 170 may also include additionalcircuitry (not shown) which may be unnecessary to the understanding ofembodiments of the present disclosure.

In operation, main processor 166 executes a stream of data processinginstructions that control data processing operations of a general typeincluding interactions with cache memory 167, and input/output system168. Embedded within the stream of data processing instructions may beSIMD coprocessor instructions. Decoder 165 of main processor 166recognizes these SIMD coprocessor instructions as being of a type thatshould be executed by an attached SIMD coprocessor 161. Accordingly,main processor 166 issues these SIMD coprocessor instructions (orcontrol signals representing SIMD coprocessor instructions) on thecoprocessor bus 166. From coprocessor bus 166, these instructions may bereceived by any attached SIMD coprocessors. In this case, SIMDcoprocessor 161 may accept and execute any received SIMD coprocessorinstructions intended for it.

Data may be received via wireless interface 169 for processing by theSIMD coprocessor instructions. For one example, voice communication maybe received in the form of a digital signal, which may be processed bythe SIMD coprocessor instructions to regenerate digital audio samplesrepresentative of the voice communications. For another example,compressed audio and/or video may be received in the form of a digitalbit stream, which may be processed by the SIMD coprocessor instructionsto regenerate digital audio samples and/or motion video frames. In oneembodiment of processing core 170, main processor 166, and a SIMDcoprocessor 161 may be integrated into a single processing core 170comprising an execution unit 162, a set of register files 164, and adecoder 165 to recognize instructions of instruction set 163 includinginstructions in accordance with one embodiment.

FIG. 2 is a block diagram of the micro-architecture for a processor 200that may include logic circuits to perform instructions, in accordancewith embodiments of the present disclosure. In some embodiments, aninstruction in accordance with one embodiment may be implemented tooperate on data elements having sizes of byte, word, doubleword,quadword, etc., as well as datatypes, such as single and doubleprecision integer and floating point datatypes. In one embodiment,in-order front end 201 may implement a part of processor 200 that mayfetch instructions to be executed and prepares the instructions to beused later in the processor pipeline. Front end 201 may include severalunits. In one embodiment, instruction prefetcher 226 fetchesinstructions from memory and feeds the instructions to an instructiondecoder 228 which in turn decodes or interprets the instructions. Forexample, in one embodiment, the decoder decodes a received instructioninto one or more operations called “micro-instructions” or“micro-operations” (also called micro op or uops) that the machine mayexecute. In other embodiments, the decoder parses the instruction intoan opcode and corresponding data and control fields that may be used bythe micro-architecture to perform operations in accordance with oneembodiment. In one embodiment, trace cache 230 may assemble decoded uopsinto program ordered sequences or traces in uop queue 234 for execution.When trace cache 230 encounters a complex instruction, microcode ROM 232provides the uops needed to complete the operation.

Some instructions may be converted into a single micro-op, whereasothers need several micro-ops to complete the full operation. In oneembodiment, if more than four micro-ops are needed to complete aninstruction, decoder 228 may access microcode ROM 232 to perform theinstruction. In one embodiment, an instruction may be decoded into asmall number of micro-ops for processing at instruction decoder 228. Inanother embodiment, an instruction may be stored within microcode ROM232 should a number of micro-ops be needed to accomplish the operation.Trace cache 230 refers to an entry point programmable logic array (PLA)to determine a correct micro-instruction pointer for reading themicro-code sequences to complete one or more instructions in accordancewith one embodiment from micro-code ROM 232. After microcode ROM 232finishes sequencing micro-ops for an instruction, front end 201 of themachine may resume fetching micro-ops from trace cache 230.

Out-of-order execution engine 203 may prepare instructions forexecution. The out-of-order execution logic has a number of buffers tosmooth out and re-order the flow of instructions to optimize performanceas they go down the pipeline and get scheduled for execution. Theallocator logic allocates the machine buffers and resources that eachuop needs in order to execute. The register renaming logic renames logicregisters onto entries in a register file. The allocator also allocatesan entry for each uop in one of the two uop queues, one for memoryoperations and one for non-memory operations, in front of theinstruction schedulers: memory scheduler, fast scheduler 202,slow/general floating point scheduler 204, and simple floating pointscheduler 206. Uop schedulers 202, 204, 206, determine when a uop isready to execute based on the readiness of their dependent inputregister operand sources and the availability of the execution resourcesthe uops need to complete their operation. Fast scheduler 202 of oneembodiment may schedule on each half of the main clock cycle while theother schedulers may only schedule once per main processor clock cycle.The schedulers arbitrate for the dispatch ports to schedule uops forexecution.

Register files 208, 210 may be arranged between schedulers 202, 204,206, and execution units 212, 214, 216, 218, 220, 222, 224 in executionblock 211. Each of register files 208, 210 perform integer and floatingpoint operations, respectively. Each register file 208, 210, may includea bypass network that may bypass or forward just completed results thathave not yet been written into the register file to new dependent uops.Integer register file 208 and floating point register file 210 maycommunicate data with the other. In one embodiment, integer registerfile 208 may be split into two separate register files, one registerfile for low-order thirty-two bits of data and a second register filefor high order thirty-two bits of data. Floating point register file 210may include 128-bit wide entries because floating point instructionstypically have operands from 64 to 128 bits in width.

Execution block 211 may contain execution units 212, 214, 216, 218, 220,222, 224. Execution units 212, 214, 216, 218, 220, 222, 224 may executethe instructions. Execution block 211 may include register files 208,210 that store the integer and floating point data operand values thatthe micro-instructions need to execute. In one embodiment, processor 200may comprise a number of execution units: address generation unit (AGU)212, AGU 214, fast Arithmetic Logic Unit (ALU) 216, fast ALU 218, slowALU 220, floating point ALU 222, floating point move unit 224. Inanother embodiment, floating point execution blocks 222, 224, mayexecute floating point, MMX, SIMD, and SSE, or other operations. In yetanother embodiment, floating point ALU 222 may include a 64-bit by64-bit floating point divider to execute divide, square root, andremainder micro-ops. In various embodiments, instructions involving afloating point value may be handled with the floating point hardware. Inone embodiment, ALU operations may be passed to high-speed ALU executionunits 216, 218. High-speed ALUs 216, 218 may execute fast operationswith an effective latency of half a clock cycle. In one embodiment, mostcomplex integer operations go to slow ALU 220 as slow ALU 220 mayinclude integer execution hardware for long-latency type of operations,such as a multiplier, shifts, flag logic, and branch processing. Memoryload/store operations may be executed by AGUs 212, 214. In oneembodiment, integer ALUs 216, 218, 220 may perform integer operations on64-bit data operands. In other embodiments, ALUs 216, 218, 220 may beimplemented to support a variety of data bit sizes including sixteen,thirty-two, 128, 256, etc. Similarly, floating point units 222, 224 maybe implemented to support a range of operands having bits of variouswidths. In one embodiment, floating point units 222, 224, may operate on128-bit wide packed data operands in conjunction with SIMD andmultimedia instructions.

In one embodiment, uops schedulers 202, 204, 206, dispatch dependentoperations before the parent load has finished executing. As uops may bespeculatively scheduled and executed in processor 200, processor 200 mayalso include logic to handle memory misses. If a data load misses in thedata cache, there may be dependent operations in flight in the pipelinethat have left the scheduler with temporarily incorrect data. A replaymechanism tracks and re-executes instructions that use incorrect data.Only the dependent operations might need to be replayed and theindependent ones may be allowed to complete. The schedulers and replaymechanism of one embodiment of a processor may also be designed to catchinstruction sequences for text string comparison operations.

The term “registers” may refer to the on-board processor storagelocations that may be used as part of instructions to identify operands.In other words, registers may be those that may be usable from theoutside of the processor (from a programmer's perspective). However, insome embodiments registers might not be limited to a particular type ofcircuit. Rather, a register may store data, provide data, and performthe functions described herein. The registers described herein may beimplemented by circuitry within a processor using any number ofdifferent techniques, such as dedicated physical registers, dynamicallyallocated physical registers using register renaming, combinations ofdedicated and dynamically allocated physical registers, etc. In oneembodiment, integer registers store 32-bit integer data. A register fileof one embodiment also contains eight multimedia SIMD registers forpacked data. For the discussions below, the registers may be understoodto be data registers designed to hold packed data, such as 64-bit wideMMX′ registers (also referred to as ‘mm’ registers in some instances) inmicroprocessors enabled with MMX technology from Intel Corporation ofSanta Clara, Calif. These MMX registers, available in both integer andfloating point forms, may operate with packed data elements thataccompany SIMD and SSE instructions. Similarly, 128-bit wide XMMregisters relating to SSE2, SSE3, SSE4, or beyond (referred togenerically as “SSEx”) technology may hold such packed data operands. Inone embodiment, in storing packed data and integer data, the registersdo not need to differentiate between the two data types. In oneembodiment, integer and floating point may be contained in the sameregister file or different register files. Furthermore, in oneembodiment, floating point and integer data may be stored in differentregisters or the same registers.

In the examples of the following figures, a number of data operands maybe described. FIG. 3A illustrates various packed data typerepresentations in multimedia registers, in accordance with embodimentsof the present disclosure. FIG. 3A illustrates data types for a packedbyte 310, a packed word 320, and a packed doubleword (dword) 330 for128-bit wide operands. Packed byte format 310 of this example may be 128bits long and contains sixteen packed byte data elements. A byte may bedefined, for example, as eight bits of data. Information for each bytedata element may be stored in bit 7 through bit 0 for byte 0, bit 15through bit 8 for byte 1, bit 23 through bit 16 for byte 2, and finallybit 120 through bit 127 for byte 15. Thus, all available bits may beused in the register. This storage arrangement increases the storageefficiency of the processor. As well, with sixteen data elementsaccessed, one operation may now be performed on sixteen data elements inparallel.

Generally, a data element may include an individual piece of data thatis stored in a single register or memory location with other dataelements of the same length. In packed data sequences relating to SSExtechnology, the number of data elements stored in a XMM register may be128 bits divided by the length in bits of an individual data element.Similarly, in packed data sequences relating to MMX and SSE technology,the number of data elements stored in an MMX register may be 64 bitsdivided by the length in bits of an individual data element. Althoughthe data types illustrated in FIG. 3A may be 128 bits long, embodimentsof the present disclosure may also operate with 64-bit wide or othersized operands. Packed word format 320 of this example may be 128 bitslong and contains eight packed word data elements. Each packed wordcontains sixteen bits of information. Packed doubleword format 330 ofFIG. 3A may be 128 bits long and contains four packed doubleword dataelements. Each packed doubleword data element contains thirty-two bitsof information. A packed quadword may be 128 bits long and contain twopacked quad-word data elements.

FIG. 3B illustrates possible in-register data storage formats, inaccordance with embodiments of the present disclosure. Each packed datamay include more than one independent data element. Three packed dataformats are illustrated; packed half 341, packed single 342, and packeddouble 343. One embodiment of packed half 341, packed single 342, andpacked double 343 contain fixed-point data elements. For anotherembodiment one or more of packed half 341, packed single 342, and packeddouble 343 may contain floating-point data elements. One embodiment ofpacked half 341 may be 128 bits long containing eight 16-bit dataelements. One embodiment of packed single 342 may be 128 bits long andcontains four 32-bit data elements. One embodiment of packed double 343may be 128 bits long and contains two 64-bit data elements. It will beappreciated that such packed data formats may be further extended toother register lengths, for example, to 96-bits, 160-bits, 192-bits,224-bits, 256-bits or more.

FIG. 3C illustrates various signed and unsigned packed data typerepresentations in multimedia registers, in accordance with embodimentsof the present disclosure. Unsigned packed byte representation 344illustrates the storage of an unsigned packed byte in a SIMD register.Information for each byte data element may be stored in bit 7 throughbit 0 for byte 0, bit 15 through bit 8 for byte 1, bit 23 through bit 16for byte 2, and finally bit 120 through bit 127 for byte 15. Thus, allavailable bits may be used in the register. This storage arrangement mayincrease the storage efficiency of the processor. As well, with sixteendata elements accessed, one operation may now be performed on sixteendata elements in a parallel fashion. Signed packed byte representation345 illustrates the storage of a signed packed byte. Note that theeighth bit of every byte data element may be the sign indicator.Unsigned packed word representation 346 illustrates how word seventhrough word zero may be stored in a SIMD register. Signed packed wordrepresentation 347 may be similar to the unsigned packed wordin-register representation 346. Note that the sixteenth bit of each worddata element may be the sign indicator. Unsigned packed doublewordrepresentation 348 shows how doubleword data elements are stored. Signedpacked doubleword representation 349 may be similar to unsigned packeddoubleword in-register representation 348. Note that the necessary signbit may be the thirty-second bit of each doubleword data element.

FIG. 3D illustrates an embodiment of an operation encoding (opcode).Furthermore, format 360 may include register/memory operand addressingmodes corresponding with a type of opcode format described in the “IA-32Intel Architecture Software Developer's Manual Volume 2: Instruction SetReference,” which is available from Intel Corporation, Santa Clara,Calif. on the world-wide-web (www) at intel.com/design/litcentr. In oneembodiment, and instruction may be encoded by one or more of fields 361and 362. Up to two operand locations per instruction may be identified,including up to two source operand identifiers 364 and 365. In oneembodiment, destination operand identifier 366 may be the same as sourceoperand identifier 364, whereas in other embodiments they may bedifferent. In another embodiment, destination operand identifier 366 maybe the same as source operand identifier 365, whereas in otherembodiments they may be different. In one embodiment, one of the sourceoperands identified by source operand identifiers 364 and 365 may beoverwritten by the results of the text string comparison operations,whereas in other embodiments identifier 364 corresponds to a sourceregister element and identifier 365 corresponds to a destinationregister element. In one embodiment, operand identifiers 364 and 365 mayidentify 32-bit or 64-bit source and destination operands.

FIG. 3E illustrates another possible operation encoding (opcode) format370, having forty or more bits, in accordance with embodiments of thepresent disclosure. Opcode format 370 corresponds with opcode format 360and comprises an optional prefix byte 378. An instruction according toone embodiment may be encoded by one or more of fields 378, 371, and372. Up to two operand locations per instruction may be identified bysource operand identifiers 374 and 375 and by prefix byte 378. In oneembodiment, prefix byte 378 may be used to identify 32-bit or 64-bitsource and destination operands. In one embodiment, destination operandidentifier 376 may be the same as source operand identifier 374, whereasin other embodiments they may be different. For another embodiment,destination operand identifier 376 may be the same as source operandidentifier 375, whereas in other embodiments they may be different. Inone embodiment, an instruction operates on one or more of the operandsidentified by operand identifiers 374 and 375 and one or more operandsidentified by operand identifiers 374 and 375 may be overwritten by theresults of the instruction, whereas in other embodiments, operandsidentified by identifiers 374 and 375 may be written to another dataelement in another register. Opcode formats 360 and 370 allow registerto register, memory to register, register by memory, register byregister, register by immediate, register to memory addressing specifiedin part by MOD fields 363 and 373 and by optional scale-index-base anddisplacement bytes.

FIG. 3F illustrates yet another possible operation encoding (opcode)format, in accordance with embodiments of the present disclosure. 64-bitsingle instruction multiple data (SIMD) arithmetic operations may beperformed through a coprocessor data processing (CDP) instruction.Operation encoding (opcode) format 380 depicts one such CDP instructionhaving CDP opcode fields 382-389. The type of CDP instruction, foranother embodiment, operations may be encoded by one or more of fields383, 384, 387, and 388. Up to three operand locations per instructionmay be identified, including up to two source operand identifiers 385and 390 and one destination operand identifier 386. One embodiment ofthe coprocessor may operate on eight, sixteen, thirty-two, and 64-bitvalues. In one embodiment, an instruction may be performed on integerdata elements. In some embodiments, an instruction may be executedconditionally, using condition field 381. For some embodiments, sourcedata sizes may be encoded by field 383. In some embodiments, Zero (Z),negative (N), carry (C), and overflow (V) detection may be done on SIMDfields. For some instructions, the type of saturation may be encoded byfield 384.

FIG. 4A is a block diagram illustrating an in-order pipeline and aregister renaming stage, out-of-order issue/execution pipeline, inaccordance with embodiments of the present disclosure. FIG. 4B is ablock diagram illustrating an in-order architecture core and a registerrenaming logic, out-of-order issue/execution logic to be included in aprocessor, in accordance with embodiments of the present disclosure. Thesolid lined boxes in FIG. 4A illustrate the in-order pipeline, while thedashed lined boxes illustrates the register renaming, out-of-orderissue/execution pipeline. Similarly, the solid lined boxes in FIG. 4Billustrate the in-order architecture logic, while the dashed lined boxesillustrates the register renaming logic and out-of-order issue/executionlogic.

In FIG. 4A, a processor pipeline 400 may include a fetch stage 402, alength decode stage 404, a decode stage 406, an allocation stage 408, arenaming stage 410, a scheduling (also known as a dispatch or issue)stage 412, a register read/memory read stage 414, an execute stage 416,a write-back/memory-write stage 418, an exception handling stage 422,and a commit stage 424.

In FIG. 4B, arrows denote a coupling between two or more units and thedirection of the arrow indicates a direction of data flow between thoseunits. FIG. 4B shows processor core 490 including a front end unit 430coupled to an execution engine unit 450, and both may be coupled to amemory unit 470.

Core 490 may be a Reduced Instruction Set Computing (RISC) core, aComplex Instruction Set Computing (CISC) core, a Very Long InstructionWord (VLIW) core, or a hybrid or alternative core type. In oneembodiment, core 490 may be a special-purpose core, such as, forexample, a network or communication core, compression engine, graphicscore, or the like.

Front end unit 430 may include a branch prediction unit 432 coupled toan instruction cache unit 434. Instruction cache unit 434 may be coupledto an instruction Translation Lookaside Buffer (TLB) 436. TLB 436 may becoupled to an instruction fetch unit 438, which is coupled to a decodeunit 440. Decode unit 440 may decode instructions, and generate as anoutput one or more micro-operations, micro-code entry points,microinstructions, other instructions, or other control signals, whichmay be decoded from, or which otherwise reflect, or may be derived from,the original instructions. The decoder may be implemented using variousdifferent mechanisms. Examples of suitable mechanisms include, but arenot limited to, look-up tables, hardware implementations, programmablelogic arrays (PLAs), microcode read-only memories (ROMs), etc. In oneembodiment, instruction cache unit 434 may be further coupled to a level2 (L2) cache unit 476 in memory unit 470. Decode unit 440 may be coupledto a rename/allocator unit 452 in execution engine unit 450.

Execution engine unit 450 may include rename/allocator unit 452 coupledto a retirement unit 454 and a set of one or more scheduler units 456.Scheduler units 456 represent any number of different schedulers,including reservations stations, central instruction window, etc.Scheduler units 456 may be coupled to physical register file units 458.Each of physical register file units 458 represents one or more physicalregister files, different ones of which store one or more different datatypes, such as scalar integer, scalar floating point, packed integer,packed floating point, vector integer, vector floating point, etc.,status (e.g., an instruction pointer that is the address of the nextinstruction to be executed), etc. Physical register file units 458 maybe overlapped by retirement unit 154 to illustrate various ways in whichregister renaming and out-of-order execution may be implemented (e.g.,using one or more reorder buffers and one or more retirement registerfiles, using one or more future files, one or more history buffers, andone or more retirement register files; using register maps and a pool ofregisters; etc.). Generally, the architectural registers may be visiblefrom the outside of the processor or from a programmer's perspective.The registers might not be limited to any known particular type ofcircuit. Various different types of registers may be suitable as long asthey store and provide data as described herein. Examples of suitableregisters include, but might not be limited to, dedicated physicalregisters, dynamically allocated physical registers using registerrenaming, combinations of dedicated and dynamically allocated physicalregisters, etc. Retirement unit 454 and physical register file units 458may be coupled to execution clusters 460. Execution clusters 460 mayinclude a set of one or more execution units 162 and a set of one ormore memory access units 464. Execution units 462 may perform variousoperations (e.g., shifts, addition, subtraction, multiplication) and onvarious types of data (e.g., scalar floating point, packed integer,packed floating point, vector integer, vector floating point). Whilesome embodiments may include a number of execution units dedicated tospecific functions or sets of functions, other embodiments may includeonly one execution unit or multiple execution units that all perform allfunctions. Scheduler units 456, physical register file units 458, andexecution clusters 460 are shown as being possibly plural becausecertain embodiments create separate pipelines for certain types ofdata/operations (e.g., a scalar integer pipeline, a scalar floatingpoint/packed integer/packed floating point/vector integer/vectorfloating point pipeline, and/or a memory access pipeline that each havetheir own scheduler unit, physical register file unit, and/or executioncluster—and in the case of a separate memory access pipeline, certainembodiments may be implemented in which only the execution cluster ofthis pipeline has memory access units 464). It should also be understoodthat where separate pipelines are used, one or more of these pipelinesmay be out-of-order issue/execution and the rest in-order.

The set of memory access units 464 may be coupled to memory unit 470,which may include a data TLB unit 472 coupled to a data cache unit 474coupled to a level 2 (L2) cache unit 476. In one exemplary embodiment,memory access units 464 may include a load unit, a store address unit,and a store data unit, each of which may be coupled to data TLB unit 472in memory unit 470. L2 cache unit 476 may be coupled to one or moreother levels of cache and eventually to a main memory.

By way of example, the exemplary register renaming, out-of-orderissue/execution core architecture may implement pipeline 400 asfollows: 1) instruction fetch 438 may perform fetch and length decodingstages 402 and 404; 2) decode unit 440 may perform decode stage 406; 3)rename/allocator unit 452 may perform allocation stage 408 and renamingstage 410; 4) scheduler units 456 may perform schedule stage 412; 5)physical register file units 458 and memory unit 470 may performregister read/memory read stage 414; execution cluster 460 may performexecute stage 416; 6) memory unit 470 and physical register file units458 may perform write-back/memory-write stage 418; 7) various units maybe involved in the performance of exception handling stage 422; and 8)retirement unit 454 and physical register file units 458 may performcommit stage 424.

Core 490 may support one or more instructions sets (e.g., the x86instruction set (with some extensions that have been added with newerversions); the MIPS instruction set of MIPS Technologies of Sunnyvale,Calif.; the ARM instruction set (with optional additional extensionssuch as NEON) of ARM Holdings of Sunnyvale, Calif.).

It should be understood that the core may support multithreading(executing two or more parallel sets of operations or threads) in avariety of manners. Multithreading support may be performed by, forexample, including time sliced multithreading, simultaneousmultithreading (where a single physical core provides a logical core foreach of the threads that physical core is simultaneouslymultithreading), or a combination thereof. Such a combination mayinclude, for example, time sliced fetching and decoding and simultaneousmultithreading thereafter such as in the Intel® Hyperthreadingtechnology.

While register renaming may be described in the context of out-of-orderexecution, it should be understood that register renaming may be used inan in-order architecture. While the illustrated embodiment of theprocessor may also include a separate instruction and data cache units434/474 and a shared L2 cache unit 476, other embodiments may have asingle internal cache for both instructions and data, such as, forexample, a Level 1 (L1) internal cache, or multiple levels of internalcache. In some embodiments, the system may include a combination of aninternal cache and an external cache that may be external to the coreand/or the processor. In other embodiments, all of the cache may beexternal to the core and/or the processor.

FIG. 5A is a block diagram of a processor 500, in accordance withembodiments of the present disclosure. In one embodiment, processor 500may include a multicore processor. Processor 500 may include a systemagent 510 communicatively coupled to one or more cores 502. Furthermore,cores 502 and system agent 510 may be communicatively coupled to one ormore caches 506. Cores 502, system agent 510, and caches 506 may becommunicatively coupled via one or more memory control units 552.Furthermore, cores 502, system agent 510, and caches 506 may becommunicatively coupled to a graphics module 560 via memory controlunits 552.

Processor 500 may include any suitable mechanism for interconnectingcores 502, system agent 510, and caches 506, and graphics module 560. Inone embodiment, processor 500 may include a ring-based interconnect unit508 to interconnect cores 502, system agent 510, and caches 506, andgraphics module 560. In other embodiments, processor 500 may include anynumber of well-known techniques for interconnecting such units.Ring-based interconnect unit 508 may utilize memory control units 552 tofacilitate interconnections.

Processor 500 may include a memory hierarchy comprising one or morelevels of caches within the cores, one or more shared cache units suchas caches 506, or external memory (not shown) coupled to the set ofintegrated memory controller units 552. Caches 506 may include anysuitable cache. In one embodiment, caches 506 may include one or moremid-level caches, such as Level 2 (L2), Level 3 (L3), Level 4 (L4), orother levels of cache, a last level cache (LLC), and/or combinationsthereof.

In various embodiments, one or more of cores 502 may performmulti-threading. System agent 510 may include components forcoordinating and operating cores 502. System agent unit 510 may includefor example a Power Control Unit (PCU). The PCU may be or include logicand components needed for regulating the power state of cores 502.System agent 510 may include a display engine 512 for driving one ormore externally connected displays or graphics module 560. System agent510 may include an interface 1214 for communications busses forgraphics. In one embodiment, interface 1214 may be implemented by PCIExpress (PCIe). In a further embodiment, interface 1214 may beimplemented by PCI Express Graphics (PEG). System agent 510 may includea direct media interface (DMI) 516. DMI 516 may provide links betweendifferent bridges on a motherboard or other portion of a computersystem. System agent 510 may include a PCIe bridge 1218 for providingPCIe links to other elements of a computing system. PCIe bridge 1218 maybe implemented using a memory controller 1220 and coherence logic 1222.

Cores 502 may be implemented in any suitable manner. Cores 502 may behomogenous or heterogeneous in terms of architecture and/or instructionset. In one embodiment, some of cores 502 may be in-order while othersmay be out-of-order. In another embodiment, two or more of cores 502 mayexecute the same instruction set, while others may execute only a subsetof that instruction set or a different instruction set.

Processor 500 may include a general-purpose processor, such as a Core™i3, i5, i7, 2 Duo and Quad, Xeon™, Itanium™, XScale™ or StrongARM™processor, which may be available from Intel Corporation, of SantaClara, Calif. Processor 500 may be provided from another company, suchas ARM Holdings, Ltd, MIPS, etc. Processor 500 may be a special-purposeprocessor, such as, for example, a network or communication processor,compression engine, graphics processor, co-processor, embeddedprocessor, or the like. Processor 500 may be implemented on one or morechips. Processor 500 may be a part of and/or may be implemented on oneor more substrates using any of a number of process technologies, suchas, for example, BiCMOS, CMOS, or NMOS.

In one embodiment, a given one of caches 506 may be shared by multipleones of cores 502. In another embodiment, a given one of caches 506 maybe dedicated to one of cores 502. The assignment of caches 506 to cores502 may be handled by a cache controller or other suitable mechanism. Agiven one of caches 506 may be shared by two or more cores 502 byimplementing time-slices of a given cache 506.

Graphics module 560 may implement an integrated graphics processingsubsystem. In one embodiment, graphics module 560 may include a graphicsprocessor. Furthermore, graphics module 560 may include a media engine565. Media engine 565 may provide media encoding and video decoding.

FIG. 5B is a block diagram of an example implementation of a core 502,in accordance with embodiments of the present disclosure. Core 502 mayinclude a front end 570 communicatively coupled to an out-of-orderengine 580. Core 502 may be communicatively coupled to other portions ofprocessor 500 through cache hierarchy 503.

Front end 570 may be implemented in any suitable manner, such as fullyor in part by front end 201 as described above. In one embodiment, frontend 570 may communicate with other portions of processor 500 throughcache hierarchy 503. In a further embodiment, front end 570 may fetchinstructions from portions of processor 500 and prepare the instructionsto be used later in the processor pipeline as they are passed toout-of-order execution engine 580.

Out-of-order execution engine 580 may be implemented in any suitablemanner, such as fully or in part by out-of-order execution engine 203 asdescribed above. Out-of-order execution engine 580 may prepareinstructions received from front end 570 for execution. Out-of-orderexecution engine 580 may include an allocate module 1282. In oneembodiment, allocate module 1282 may allocate resources of processor 500or other resources, such as registers or buffers, to execute a giveninstruction. Allocate module 1282 may make allocations in schedulers,such as a memory scheduler, fast scheduler, or floating point scheduler.Such schedulers may be represented in FIG. 5B by resource schedulers584. Allocate module 1282 may be implemented fully or in part by theallocation logic described in conjunction with FIG. 2. Resourceschedulers 584 may determine when an instruction is ready to executebased on the readiness of a given resource's sources and theavailability of execution resources needed to execute an instruction.Resource schedulers 584 may be implemented by, for example, schedulers202, 204, 206 as discussed above. Resource schedulers 584 may schedulethe execution of instructions upon one or more resources. In oneembodiment, such resources may be internal to core 502, and may beillustrated, for example, as resources 586. In another embodiment, suchresources may be external to core 502 and may be accessible by, forexample, cache hierarchy 503. Resources may include, for example,memory, caches, register files, or registers. Resources internal to core502 may be represented by resources 586 in FIG. 5B. As necessary, valueswritten to or read from resources 586 may be coordinated with otherportions of processor 500 through, for example, cache hierarchy 503. Asinstructions are assigned resources, they may be placed into a reorderbuffer 588. Reorder buffer 588 may track instructions as they areexecuted and may selectively reorder their execution based upon anysuitable criteria of processor 500. In one embodiment, reorder buffer588 may identify instructions or a series of instructions that may beexecuted independently. Such instructions or a series of instructionsmay be executed in parallel from other such instructions. Parallelexecution in core 502 may be performed by any suitable number ofseparate execution blocks or virtual processors. In one embodiment,shared resources—such as memory, registers, and caches—may be accessibleto multiple virtual processors within a given core 502. In otherembodiments, shared resources may be accessible to multiple processingentities within processor 500.

Cache hierarchy 503 may be implemented in any suitable manner. Forexample, cache hierarchy 503 may include one or more lower or mid-levelcaches, such as caches 572, 574. In one embodiment, cache hierarchy 503may include an LLC 595 communicatively coupled to caches 572, 574. Inanother embodiment, LLC 595 may be implemented in a module 590accessible to all processing entities of processor 500. In a furtherembodiment, module 590 may be implemented in an uncore module ofprocessors from Intel, Inc. Module 590 may include portions orsubsystems of processor 500 necessary for the execution of core 502 butmight not be implemented within core 502. Besides LLC 595, Module 590may include, for example, hardware interfaces, memory coherencycoordinators, interprocessor interconnects, instruction pipelines, ormemory controllers. Access to RAM 599 available to processor 500 may bemade through module 590 and, more specifically, LLC 595. Furthermore,other instances of core 502 may similarly access module 590.Coordination of the instances of core 502 may be facilitated in partthrough module 590.

FIGS. 6-8 may illustrate exemplary systems suitable for includingprocessor 500, while FIG. 9 may illustrate an exemplary System on a Chip(SoC) that may include one or more of cores 502. Other system designsand implementations known in the arts for laptops, desktops, handheldPCs, personal digital assistants, engineering workstations, servers,network devices, network hubs, switches, embedded processors, DSPs,graphics devices, video game devices, set-top boxes, micro controllers,cell phones, portable media players, hand held devices, and variousother electronic devices, may also be suitable. In general, a hugevariety of systems or electronic devices that incorporate a processorand/or other execution logic as disclosed herein may be generallysuitable.

FIG. 6 illustrates a block diagram of a system 600, in accordance withembodiments of the present disclosure. System 600 may include one ormore processors 610, 615, which may be coupled to Graphics MemoryController Hub (GMCH) 620. The optional nature of additional processors615 is denoted in FIG. 6 with broken lines.

Each processor 610, 615 may be some version of processor 500. However,it should be noted that integrated graphics logic and integrated memorycontrol units might not exist in processors 610, 615. FIG. 6 illustratesthat GMCH 620 may be coupled to a memory 640 that may be, for example, adynamic random access memory (DRAM). The DRAM may, for at least oneembodiment, be associated with a non-volatile cache.

GMCH 620 may be a chipset, or a portion of a chipset. GMCH 620 maycommunicate with processors 610, 615 and control interaction betweenprocessors 610, 615 and memory 640. GMCH 620 may also act as anaccelerated bus interface between the processors 610, 615 and otherelements of system 600. In one embodiment, GMCH 620 communicates withprocessors 610, 615 via a multi-drop bus, such as a frontside bus (FSB)695.

Furthermore, GMCH 620 may be coupled to a display 645 (such as a flatpanel display). In one embodiment, GMCH 620 may include an integratedgraphics accelerator. GMCH 620 may be further coupled to an input/output(I/O) controller hub (ICH) 650, which may be used to couple variousperipheral devices to system 600. External graphics device 660 mayinclude be a discrete graphics device coupled to ICH 650 along withanother peripheral device 670.

In other embodiments, additional or different processors may also bepresent in system 600. For example, additional processors 610, 615 mayinclude additional processors that may be the same as processor 610,additional processors that may be heterogeneous or asymmetric toprocessor 610, accelerators (such as, e.g., graphics accelerators ordigital signal processing (DSP) units), field programmable gate arrays,or any other processor. There may be a variety of differences betweenthe physical resources 610, 615 in terms of a spectrum of metrics ofmerit including architectural, micro-architectural, thermal, powerconsumption characteristics, and the like. These differences mayeffectively manifest themselves as asymmetry and heterogeneity amongstprocessors 610, 615. For at least one embodiment, various processors610, 615 may reside in the same die package.

FIG. 7 illustrates a block diagram of a second system 700, in accordancewith embodiments of the present disclosure. As shown in FIG. 7,multiprocessor system 700 may include a point-to-point interconnectsystem, and may include a first processor 770 and a second processor 780coupled via a point-to-point interconnect 750. Each of processors 770and 780 may be some version of processor 500 as one or more ofprocessors 610, 615.

While FIG. 7 may illustrate two processors 770, 780, it is to beunderstood that the scope of the present disclosure is not so limited.In other embodiments, one or more additional processors may be presentin a given processor.

Processors 770 and 780 are shown including integrated memory controllerunits 772 and 782, respectively. Processor 770 may also include as partof its bus controller units point-to-point (P-P) interfaces 776 and 778;similarly, second processor 780 may include P-P interfaces 786 and 788.Processors 770, 780 may exchange information via a point-to-point (P-P)interface 750 using P-P interface circuits 778, 788. As shown in FIG. 7,IMCs 772 and 782 may couple the processors to respective memories,namely a memory 732 and a memory 734, which in one embodiment may beportions of main memory locally attached to the respective processors.

Processors 770, 780 may each exchange information with a chipset 790 viaindividual P-P interfaces 752, 754 using point to point interfacecircuits 776, 794, 786, 798. In one embodiment, chipset 790 may alsoexchange information with a high-performance graphics circuit 738 via ahigh-performance graphics interface 739.

A shared cache (not shown) may be included in either processor oroutside of both processors, yet connected with the processors via P-Pinterconnect, such that either or both processors' local cacheinformation may be stored in the shared cache if a processor is placedinto a low power mode.

Chipset 790 may be coupled to a first bus 716 via an interface 796. Inone embodiment, first bus 716 may be a Peripheral Component Interconnect(PCI) bus, or a bus such as a PCI Express bus or another thirdgeneration I/O interconnect bus, although the scope of the presentdisclosure is not so limited.

As shown in FIG. 7, various I/O devices 714 may be coupled to first bus716, along with a bus bridge 718 which couples first bus 716 to a secondbus 720. In one embodiment, second bus 720 may be a Low Pin Count (LPC)bus. Various devices may be coupled to second bus 720 including, forexample, a keyboard and/or mouse 722, communication devices 727 and astorage unit 728 such as a disk drive or other mass storage device whichmay include instructions/code and data 730, in one embodiment. Further,an audio I/O 724 may be coupled to second bus 720. Note that otherarchitectures may be possible. For example, instead of thepoint-to-point architecture of FIG. 7, a system may implement amulti-drop bus or other such architecture.

FIG. 8 illustrates a block diagram of a third system 800 in accordancewith embodiments of the present disclosure. Like elements in FIGS. 7 and8 bear like reference numerals, and certain aspects of FIG. 7 have beenomitted from FIG. 8 in order to avoid obscuring other aspects of FIG. 8.

FIG. 8 illustrates that processors 870, 880 may include integratedmemory and I/O Control Logic (“CL”) 872 and 882, respectively. For atleast one embodiment, CL 872, 882 may include integrated memorycontroller units such as that described above in connection with FIGS. 5and 7. In addition. CL 872, 882 may also include I/O control logic. FIG.8 illustrates that not only memories 832, 834 may be coupled to CL 872,882, but also that I/O devices 814 may also be coupled to control logic872, 882. Legacy I/O devices 815 may be coupled to chipset 890.

FIG. 9 illustrates a block diagram of a SoC 900, in accordance withembodiments of the present disclosure. Similar elements in FIG. 5 bearlike reference numerals. Also, dashed lined boxes may represent optionalfeatures on more advanced SoCs. An interconnect units 902 may be coupledto: an application processor 910 which may include a set of one or morecores 902A-N and shared cache units 906; a system agent unit 910; a buscontroller units 916; an integrated memory controller units 914; a setor one or more media processors 920 which may include integratedgraphics logic 908, an image processor 924 for providing still and/orvideo camera functionality, an audio processor 926 for providinghardware audio acceleration, and a video processor 928 for providingvideo encode/decode acceleration; an SRAM unit 930; a DMA unit 932; anda display unit 940 for coupling to one or more external displays.

FIG. 10 illustrates a processor containing a Central Processing Unit(CPU) and a graphics processing unit (GPU), which may perform at leastone instruction, in accordance with embodiments of the presentdisclosure. In one embodiment, an instruction to perform operationsaccording to at least one embodiment could be performed by the CPU. Inanother embodiment, the instruction could be performed by the GPU. Instill another embodiment, the instruction may be performed through acombination of operations performed by the GPU and the CPU. For example,in one embodiment, an instruction in accordance with one embodiment maybe received and decoded for execution on the GPU. However, one or moreoperations within the decoded instruction may be performed by a CPU andthe result returned to the GPU for final retirement of the instruction.Conversely, in some embodiments, the CPU may act as the primaryprocessor and the GPU as the co-processor.

In some embodiments, instructions that benefit from highly parallel,throughput processors may be performed by the GPU, while instructionsthat benefit from the performance of processors that benefit from deeplypipelined architectures may be performed by the CPU. For example,graphics, scientific applications, financial applications and otherparallel workloads may benefit from the performance of the GPU and beexecuted accordingly, whereas more sequential applications, such asoperating system kernel or application code may be better suited for theCPU.

In FIG. 10, processor 1000 includes a CPU 1005, GPU 1010, imageprocessor 1015, video processor 1020, USB controller 1025, UARTcontroller 1030, SPI/SDIO controller 1035, display device 1040, memoryinterface controller 1045, MIPI controller 1050, flash memory controller1055, Dual Data Rate (DDR) controller 1060, security engine 1065, andI²S/I²C controller 1070. Other logic and circuits may be included in theprocessor of FIG. 10, including more CPUs or GPUs and other peripheralinterface controllers.

One or more aspects of at least one embodiment may be implemented byrepresentative data stored on a machine-readable medium which representsvarious logic within the processor, which when read by a machine causesthe machine to fabricate logic to perform the techniques describedherein. Such representations, known as “IP cores” may be stored on atangible, machine-readable medium (“tape”) and supplied to variouscustomers or manufacturing facilities to load into the fabricationmachines that actually make the logic or processor. For example, IPcores, such as the Cortex™ family of processors developed by ARMHoldings, Ltd. and Loongson IP cores developed the Institute ofComputing Technology (ICT) of the Chinese Academy of Sciences may belicensed or sold to various customers or licensees, such as TexasInstruments, Qualcomm, Apple, or Samsung and implemented in processorsproduced by these customers or licensees.

FIG. 11 illustrates a block diagram illustrating the development of IPcores, in accordance with embodiments of the present disclosure. Storage1130 may include simulation software 1120 and/or hardware or softwaremodel 1110. In one embodiment, the data representing the IP core designmay be provided to storage 1130 via memory 1140 (e.g., hard disk), wiredconnection (e.g., internet) 1150 or wireless connection 1160. The IPcore information generated by the simulation tool and model may then betransmitted to a fabrication facility where it may be fabricated by athird party to perform at least one instruction in accordance with atleast one embodiment.

In some embodiments, one or more instructions may correspond to a firsttype or architecture (e.g., x86) and be translated or emulated on aprocessor of a different type or architecture (e.g., ARM). Aninstruction, according to one embodiment, may therefore be performed onany processor or processor type, including ARM, x86, MIPS, a GPU, orother processor type or architecture.

FIG. 12 illustrates how an instruction of a first type may be emulatedby a processor of a different type, in accordance with embodiments ofthe present disclosure. In FIG. 12, program 1205 contains someinstructions that may perform the same or substantially the samefunction as an instruction according to one embodiment. However theinstructions of program 1205 may be of a type and/or format that isdifferent from or incompatible with processor 1215, meaning theinstructions of the type in program 1205 may not be able to executenatively by the processor 1215. However, with the help of emulationlogic, 1210, the instructions of program 1205 may be translated intoinstructions that may be natively be executed by the processor 1215. Inone embodiment, the emulation logic may be embodied in hardware. Inanother embodiment, the emulation logic may be embodied in a tangible,machine-readable medium containing software to translate instructions ofthe type in program 1205 into the type natively executable by processor1215. In other embodiments, emulation logic may be a combination offixed-function or programmable hardware and a program stored on atangible, machine-readable medium. In one embodiment, the processorcontains the emulation logic, whereas in other embodiments, theemulation logic exists outside of the processor and may be provided by athird party. In one embodiment, the processor may load the emulationlogic embodied in a tangible, machine-readable medium containingsoftware by executing microcode or firmware contained in or associatedwith the processor.

FIG. 13 illustrates a block diagram contrasting the use of a softwareinstruction converter to convert binary instructions in a sourceinstruction set to binary instructions in a target instruction set, inaccordance with embodiments of the present disclosure. In theillustrated embodiment, the instruction converter may be a softwareinstruction converter, although the instruction converter may beimplemented in software, firmware, hardware, or various combinationsthereof. FIG. 13 shows a program in a high level language 1302 may becompiled using an x86 compiler 1304 to generate x86 binary code 1306that may be natively executed by a processor with at least one x86instruction set core 1316. The processor with at least one x86instruction set core 1316 represents any processor that may performsubstantially the same functions as an Intel processor with at least onex86 instruction set core by compatibly executing or otherwise processing(1) a substantial portion of the instruction set of the Intel x86instruction set core or (2) object code versions of applications orother software targeted to run on an Intel processor with at least onex86 instruction set core, in order to achieve substantially the sameresult as an Intel processor with at least one x86 instruction set core.x86 compiler 1304 represents a compiler that may be operable to generatex86 binary code 1306 (e.g., object code) that may, with or withoutadditional linkage processing, be executed on the processor with atleast one x86 instruction set core 1316. Similarly, FIG. 13 shows theprogram in high level language 1302 may be compiled using an alternativeinstruction set compiler 1308 to generate alternative instruction setbinary code 1310 that may be natively executed by a processor without atleast one x86 instruction set core 1314 (e.g., a processor with coresthat execute the MIPS instruction set of MIPS Technologies of Sunnyvale,Calif. and/or that execute the ARM instruction set of ARM Holdings ofSunnyvale, Calif.). Instruction converter 1312 may be used to convertx86 binary code 1306 into code that may be natively executed by theprocessor without an x86 instruction set core 1314. This converted codemight not be the same as alternative instruction set binary code 1310;however, the converted code will accomplish the general operation and bemade up of instructions from the alternative instruction set. Thus,instruction converter 1312 represents software, firmware, hardware, or acombination thereof that, through emulation, simulation or any otherprocess, allows a processor or other electronic device that does nothave an x86 instruction set processor or core to execute x86 binary code1306.

FIG. 14 is a block diagram of an instruction set architecture 1400 of aprocessor, in accordance with embodiments of the present disclosure.Instruction set architecture 1400 may include any suitable number orkind of components.

For example, instruction set architecture 1400 may include processingentities such as one or more cores 1406, 1407 and a graphics processingunit 1415. Cores 1406, 1407 may be communicatively coupled to the restof instruction set architecture 1400 through any suitable mechanism,such as through a bus or cache. In one embodiment, cores 1406, 1407 maybe communicatively coupled through an L2 cache control 1408, which mayinclude a bus interface unit 1409 and an L2 cache 1410. Cores 1406, 1407and graphics processing unit 1415 may be communicatively coupled to eachother and to the remainder of instruction set architecture 1400 throughinterconnect 1410. In one embodiment, graphics processing unit 1415 mayuse a video code 1420 defining the manner in which particular videosignals will be encoded and decoded for output.

Instruction set architecture 1400 may also include any number or kind ofinterfaces, controllers, or other mechanisms for interfacing orcommunicating with other portions of an electronic device or system.Such mechanisms may facilitate interaction with, for example,peripherals, communications devices, other processors, or memory. In theexample of FIG. 14, instruction set architecture 1400 may include an LCDvideo interface 1425, a Subscriber Interface Module (SIM) interface1430, a boot ROM interface 1435, an SDRAM controller 1440, a flashcontroller 1445, and a Serial Peripheral Interface (SPI) master unit1450. LCD video interface 1425 may provide output of video signals from,for example, GPU 1415 and through, for example, a Mobile IndustryProcessor Interface (MIPI) 1490 or a High-Definition MultimediaInterface (HDMI) 1495 to a display. Such a display may include, forexample, an LCD. SIM interface 1430 may provide access to or from a SIMcard or device. SDRAM controller 1440 may provide access to or frommemory such as an SDRAM chip or module. Flash controller 1445 mayprovide access to or from memory such as flash memory or other instancesof RAM. SPI master unit 1450 may provide access to or fromcommunications modules, such as a Bluetooth module 1470, high-speed 3Gmodem 1475, global positioning system module 1480, or wireless module1485 implementing a communications standard such as 802.11.

FIG. 15 is a more detailed block diagram of an instruction setarchitecture 1500 of a processor, in accordance with embodiments of thepresent disclosure. Instruction architecture 1500 may implement one ormore aspects of instruction set architecture 1400. Furthermore,instruction set architecture 1500 may illustrate modules and mechanismsfor the execution of instructions within a processor.

Instruction architecture 1500 may include a memory system 1540communicatively coupled to one or more execution entities 1565.Furthermore, instruction architecture 1500 may include a caching and businterface unit such as unit 1510 communicatively coupled to executionentities 1565 and memory system 1540. In one embodiment, loading ofinstructions into execution entities 1564 may be performed by one ormore stages of execution. Such stages may include, for example,instruction prefetch stage 1530, dual instruction decode stage 1550,register rename stage 155, issue stage 1560, and writeback stage 1570.

In one embodiment, memory system 1540 may include an executedinstruction pointer 1580. Executed instruction pointer 1580 may store avalue identifying the oldest, undispatched instruction within a batch ofinstructions. The oldest instruction may correspond to the lowestProgram Order (PO) value. A PO may include a unique number of aninstruction. Such an instruction may be a single instruction within athread represented by multiple strands. A PO may be used in orderinginstructions to ensure correct execution semantics of code. A PO may bereconstructed by mechanisms such as evaluating increments to PO encodedin the instruction rather than an absolute value. Such a reconstructedPO may be known as an “RPO.” Although a PO may be referenced herein,such a PO may be used interchangeably with an RPO. A strand may includea sequence of instructions that are data dependent upon each other. Thestrand may be arranged by a binary translator at compilation time.Hardware executing a strand may execute the instructions of a givenstrand in order according to PO of the various instructions. A threadmay include multiple strands such that instructions of different strandsmay depend upon each other. A PO of a given strand may be the PO of theoldest instruction in the strand which has not yet been dispatched toexecution from an issue stage. Accordingly, given a thread of multiplestrands, each strand including instructions ordered by PO, executedinstruction pointer 1580 may store the oldest—illustrated by the lowestnumber—PO in the thread.

In another embodiment, memory system 1540 may include a retirementpointer 1582. Retirement pointer 1582 may store a value identifying thePO of the last retired instruction. Retirement pointer 1582 may be setby, for example, retirement unit 454. If no instructions have yet beenretired, retirement pointer 1582 may include a null value.

Execution entities 1565 may include any suitable number and kind ofmechanisms by which a processor may execute instructions. In the exampleof FIG. 15, execution entities 1565 may include ALU/Multiplication Units(MUL) 1566, ALUs 1567, and Floating Point Units (FPU) 1568. In oneembodiment, such entities may make use of information contained within agiven address 1569. Execution entities 1565 in combination with stages1530, 1550, 1555, 1560, 1570 may collectively form an execution unit.

Unit 1510 may be implemented in any suitable manner. In one embodiment,unit 1510 may perform cache control. In such an embodiment, unit 1510may thus include a cache 1525. Cache 1525 may be implemented, in afurther embodiment, as an L2 unified cache with any suitable size, suchas zero, 128 k, 256 k, 512 k, 1M, or 2M bytes of memory. In another,further embodiment, cache 1525 may be implemented in error-correctingcode memory. In another embodiment, unit 1510 may perform businterfacing to other portions of a processor or electronic device. Insuch an embodiment, unit 1510 may thus include a bus interface unit 1520for communicating over an interconnect, intraprocessor bus,interprocessor bus, or other communication bus, port, or line. Businterface unit 1520 may provide interfacing in order to perform, forexample, generation of the memory and input/output addresses for thetransfer of data between execution entities 1565 and the portions of asystem external to instruction architecture 1500.

To further facilitate its functions, bus interface unit 1520 may includean interrupt control and distribution unit 1511 for generatinginterrupts and other communications to other portions of a processor orelectronic device. In one embodiment, bus interface unit 1520 mayinclude a snoop control unit 1512 that handles cache access andcoherency for multiple processing cores. In a further embodiment, toprovide such functionality, snoop control unit 1512 may include acache-to-cache transfer unit that handles information exchanges betweendifferent caches. In another, further embodiment, snoop control unit1512 may include one or more snoop filters 1514 that monitors thecoherency of other caches (not shown) so that a cache controller, suchas unit 1510, does not have to perform such monitoring directly. Unit1510 may include any suitable number of timers 1515 for synchronizingthe actions of instruction architecture 1500. Also, unit 1510 mayinclude an AC port 1516.

Memory system 1540 may include any suitable number and kind ofmechanisms for storing information for the processing needs ofinstruction architecture 1500. In one embodiment, memory system 1504 mayinclude a load store unit 1530 for storing information such as bufferswritten to or read back from memory or registers. In another embodiment,memory system 1504 may include a translation lookaside buffer (TLB) 1545that provides look-up of address values between physical and virtualaddresses. In yet another embodiment, bus interface unit 1520 mayinclude a Memory Management Unit (MMU) 1544 for facilitating access tovirtual memory. In still yet another embodiment, memory system 1504 mayinclude a prefetcher 1543 for requesting instructions from memory beforesuch instructions are actually needed to be executed, in order to reducelatency.

The operation of instruction architecture 1500 to execute an instructionmay be performed through different stages. For example, using unit 1510instruction prefetch stage 1530 may access an instruction throughprefetcher 1543. Instructions retrieved may be stored in instructioncache 1532. Prefetch stage 1530 may enable an option 1531 for fast-loopmode, wherein a series of instructions forming a loop that is smallenough to fit within a given cache are executed. In one embodiment, suchan execution may be performed without needing to access additionalinstructions from, for example, instruction cache 1532. Determination ofwhat instructions to prefetch may be made by, for example, branchprediction unit 1535, which may access indications of execution inglobal history 1536, indications of target addresses 1537, or contentsof a return stack 1538 to determine which of branches 1557 of code willbe executed next. Such branches may be possibly prefetched as a result.Branches 1557 may be produced through other stages of operation asdescribed below. Instruction prefetch stage 1530 may provideinstructions as well as any predictions about future instructions todual instruction decode stage.

Dual instruction decode stage 1550 may translate a received instructioninto microcode-based instructions that may be executed. Dual instructiondecode stage 1550 may simultaneously decode two instructions per clockcycle. Furthermore, dual instruction decode stage 1550 may pass itsresults to register rename stage 1555. In addition, dual instructiondecode stage 1550 may determine any resulting branches from its decodingand eventual execution of the microcode. Such results may be input intobranches 1557.

Register rename stage 1555 may translate references to virtual registersor other resources into references to physical registers or resources.Register rename stage 1555 may include indications of such mapping in aregister pool 1556. Register rename stage 1555 may alter theinstructions as received and send the result to issue stage 1560.

Issue stage 1560 may issue or dispatch commands to execution entities1565. Such issuance may be performed in an out-of-order fashion. In oneembodiment, multiple instructions may be held at issue stage 1560 beforebeing executed. Issue stage 1560 may include an instruction queue 1561for holding such multiple commands. Instructions may be issued by issuestage 1560 to a particular processing entity 1565 based upon anyacceptable criteria, such as availability or suitability of resourcesfor execution of a given instruction. In one embodiment, issue stage1560 may reorder the instructions within instruction queue 1561 suchthat the first instructions received might not be the first instructionsexecuted. Based upon the ordering of instruction queue 1561, additionalbranching information may be provided to branches 1557. Issue stage 1560may pass instructions to executing entities 1565 for execution.

Upon execution, writeback stage 1570 may write data into registers,queues, or other structures of instruction set architecture 1500 tocommunicate the completion of a given command. Depending upon the orderof instructions arranged in issue stage 1560, the operation of writebackstage 1570 may enable additional instructions to be executed.Performance of instruction set architecture 1500 may be monitored ordebugged by trace unit 1575.

FIG. 16 is a block diagram of an execution pipeline 1600 for aninstruction set architecture of a processor, in accordance withembodiments of the present disclosure. Execution pipeline 1600 mayillustrate operation of, for example, instruction architecture 1500 ofFIG. 15.

Execution pipeline 1600 may include any suitable combination of steps oroperations. In 1605, predictions of the branch that is to be executednext may be made. In one embodiment, such predictions may be based uponprevious executions of instructions and the results thereof. In 1610,instructions corresponding to the predicted branch of execution may beloaded into an instruction cache. In 1615, one or more such instructionsin the instruction cache may be fetched for execution. In 1620, theinstructions that have been fetched may be decoded into microcode ormore specific machine language. In one embodiment, multiple instructionsmay be simultaneously decoded. In 1625, references to registers or otherresources within the decoded instructions may be reassigned. Forexample, references to virtual registers may be replaced with referencesto corresponding physical registers. In 1630, the instructions may bedispatched to queues for execution. In 1640, the instructions may beexecuted. Such execution may be performed in any suitable manner. In1650, the instructions may be issued to a suitable execution entity. Themanner in which the instruction is executed may depend upon the specificentity executing the instruction. For example, at 1655, an ALU mayperform arithmetic functions. The ALU may utilize a single clock cyclefor its operation, as well as two shifters. In one embodiment, two ALUsmay be employed, and thus two instructions may be executed at 1655. At1660, a determination of a resulting branch may be made. A programcounter may be used to designate the destination to which the branchwill be made. 1660 may be executed within a single clock cycle. At 1665,floating point arithmetic may be performed by one or more FPUs. Thefloating point operation may require multiple clock cycles to execute,such as two to ten cycles. At 1670, multiplication and divisionoperations may be performed. Such operations may be performed in fourclock cycles. At 1675, loading and storing operations to registers orother portions of pipeline 1600 may be performed. The operations mayinclude loading and storing addresses. Such operations may be performedin four clock cycles. At 1680, write-back operations may be performed asrequired by the resulting operations of 1655-1675.

FIG. 17 is a block diagram of an electronic device 1700 for utilizing aprocessor 1710, in accordance with embodiments of the presentdisclosure. Electronic device 1700 may include, for example, a notebook,an ultrabook, a computer, a tower server, a rack server, a blade server,a laptop, a desktop, a tablet, a mobile device, a phone, an embeddedcomputer, or any other suitable electronic device.

Electronic device 1700 may include processor 1710 communicativelycoupled to any suitable number or kind of components, peripherals,modules, or devices. Such coupling may be accomplished by any suitablekind of bus or interface, such as I²C bus, System Management Bus(SMBus), Low Pin Count (LPC) bus, SPI, High Definition Audio (HDA) bus,Serial Advance Technology Attachment (SATA) bus, USB bus (versions 1, 2,3), or Universal Asynchronous Receiver/Transmitter (UART) bus.

Such components may include, for example, a display 1724, a touch screen1725, a touch pad 1730, a Near Field Communications (NFC) unit 1745, asensor hub 1740, a thermal sensor 1746, an Express Chipset (EC) 1735, aTrusted Platform Module (TPM) 1738, BIOS/firmware/flash memory 1722, aDSP 1760, a drive 1720 such as a Solid State Disk (SSD) or a Hard DiskDrive (HDD), a wireless local area network (WLAN) unit 1750, a Bluetoothunit 1752, a Wireless Wide Area Network (WWAN) unit 1756, a GlobalPositioning System (GPS), a camera 1754 such as a USB 3.0 camera, or aLow Power Double Data Rate (LPDDR) memory unit 1715 implemented in, forexample, the LPDDR3 standard. These components may each be implementedin any suitable manner.

Furthermore, in various embodiments other components may becommunicatively coupled to processor 1710 through the componentsdiscussed above. For example, an accelerometer 1741, Ambient LightSensor (ALS) 1742, compass 1743, and gyroscope 1744 may becommunicatively coupled to sensor hub 1740. A thermal sensor 1739, fan1737, keyboard 1746, and touch pad 1730 may be communicatively coupledto EC 1735. Speaker 1763, headphones 1764, and a microphone 1765 may becommunicatively coupled to an audio unit 1764, which may in turn becommunicatively coupled to DSP 1760. Audio unit 1764 may include, forexample, an audio codec and a class D amplifier. A SIM card 1757 may becommunicatively coupled to WWAN unit 1756. Components such as WLAN unit1750 and Bluetooth unit 1752, as well as WWAN unit 1756 may beimplemented in a Next Generation Form Factor (NGFF).

FIG. 18 is a block diagram of a portion of a system 1800 for trackingand supervising performance bottlenecks, according to embodiments of thepresent disclosure. In one embodiment, such bottlenecks may includebottlenecks associated with instruction fetching. In another embodiment,system 1800 may execute instructions that cause portions of the systemto track bottlenecks in fetching. System 1800 may include any suitablenumber and kind of elements for executing these instructions. Moreover,in various embodiments system 1800 may include any suitable number andkind of elements for support of tracking bottlenecks in fetching. In oneembodiment, system 1800 may include an interface for users to specify,through instructions accessing the interface, events that are ofinterest for performance bottleneck tracking of fetches. Such aninterface may include a model-specific register. In another embodiment,system 1800 may include mechanisms for defining performance managementevents that identify issues with fetching or front ends. In yet anotherembodiment, system 1800 may include a programmable circuit to count whenfront-end delays meet latency or bandwidth conditions specified by usersthrough instructions. Such delays may be counted regardless of sourceevent. In yet another embodiment, system 1800 may include a samplingmechanism to create event samples or interrupts when a delayed front-endevent retires. Although various elements of system 1800 may be describedherein as performing particularly functionality, the functionalitydescribed herein may be performed by any suitable portion of system1800.

Identification of where instruction fetch problems arise may bedifficult in an out-of-order processor, such as processor 1804. Fetchlatency issues may arise due to large code footprints, spread ofvirtualized and consolidated systems for execution, and object-orientedframeworks with fragmented code. Furthermore, some workloads arenaturally more intensive with respect to fetch bandwidth requirements.Fetch issues may be difficult to identify in performance analysisbecause the fetch issues arise at an early stage of the processorpipeline. The pipeline, as described above, may include multiple stages,large buffers, and instruction speculation that make it difficult totrack issues from where they arose. Furthermore, some fetch issues mightnot even execute, as they may be a part of a speculative branch.

In one embodiment, system 1800 may include a mechanism to specify thatbottlenecks in fetching are to be tracked. Any suitable mechanism may beused, such as function calls, registers, or configuration settings. Forexample, system 1800 may include a frontend model-specific-register (FEMSR) 1830 to specify how bottlenecks in fetching are to be tracked.Instructions to access FE MSR 1830 may include, for example,SET_FE_EVENT to specify what events will be tracked; SET_FE_CRITICAL tospecify that critical events or events for critical operations will betracked; SET_FE_LATENCY to set parameters about fetch latency for eventsto be tracked; and SET_FE_THRESHOLD to set parameters about how manyfetch bottlenecks to be tracked.

In another embodiment, system 1800 may include a performance monitoringunit (PMU) 1826 to track markers associated with fetch bottlenecks andcounters of events. PMU 1826 may be implemented by any suitablecombination of analog circuitry, digital circuitry, and microcode forreconfigurable logic. In a further embodiment, PMU 1826 may respond toretired instructions marked as associated with front-end events. Thefront-end events may be marked in any suitable manner. In variousembodiments, the front-end events may be marked according to a source ofthe event. For example, if an attempted loading of an instruction from acache generates a miss, the instruction, when loaded, may be marked witha bit identifying that the load was associated with a fetch miss. In afurther embodiment, when the instruction retires, counters associatedwith the fetch miss may be incremented by observing the set bit. Themiss, alone or with other data, may be reported by PMU 1826 throughinterrupts or other suitable mechanisms. PMU 1826 may be implemented bycombinations of digital circuitry, analog circuitry, and execution ofmicrocode in reconfigurable logic. PMU 1826 may operate according tospecified values in FE MSR 1830.

In another embodiment, system 1800 may include mechanism for preciseevent based sampling (PEBS) 1828. A call stack, PerfMon framework,instruction pointer, architectural state of processor 1804, and registervalues may be included in PEBS 1828. PEBS 1828 may be implemented bycombinations of digital circuitry, analog circuitry, and execution ofmicrocode in reconfigurable logic. PEBS 1828 may operate according tospecified values in FE MSR 1830.

In yet another embodiment, system 1800 may include a mechanism fortracking latency and bandwidth associated with designated frontendevents. For example, system 1800 may include latency counter 1834.Latency counter 1834 may be implemented by combinations of digitalcircuitry, analog circuitry, and execution of microcode inreconfigurable logic. Latency counter 1834 may operate according tospecified values in FE MSR 1830.

System 1800 may include processor 1804. Processor 1804 may beimplemented in part by any suitable combination of the elements of FIGS.1-17. Processor 1804 may include a front end 1806, which may receive anddecode instructions from instruction stream 1802 using a decoder 1818 toimplement a decode pipeline stage. The decoded instructions may bedispatched, allocated, and scheduled for execution by an allocationstage 1810 of a pipeline and allocated to specific execution units 1812or cores 1814. After execution, instructions may be retired by awriteback stage or retirement stage 1816. Although various operationsare described herein as performed by specific components of processor1804, the functionality may be performed by any suitable portion ofprocessor 1804. In various embodiments, processor 1804 may receive,decode, schedule, execute, and retire execute instructions that enableor disable tracking of fetch bottlenecks. Furthermore, processor 1804may receive, decode, schedule, execute, and retire other instructionsthat are to be tracked.

Fetch stage 1803 may encounter delays from, for example, fetchinginstructions or data from a memory subsystem 1824. Memory subsystem 1824may include, for example, a cache hierarchy connected to registers orphysical memory. Furthermore, fetch stage 1803 may encounter delays whenaccessing instruction cache 1820. If an instruction is unavailable ininstruction cache 1820 (resulting in a miss), then the instruction mightneed to be retrieved from memory subsystem 1824. If the instruction isnot located on any cache, then access from physical memory may berequired, which may be relatively slow. Furthermore, fetch stage 1803may encounter delays when accessing instruction translation lookasidebuffer (iTLB) 1822. If a requested page information is unavailable iniTLB 1822, a miss may occur. Furthermore, fetch stage 1803 may encounterdelays from still other actions, bugs, conflicts, or errors.

FE MSR 1830 may be set by execution of instructions to track one or morepossible delays in front end 1806 or fetch stand 1804. FE MSR 1830 mayspecifically identify that certain kinds of delays from the front end orfetching are to be tracked. Moreover, FE MSR 1830 may specify thatlatency and bandwidth are to be tracked for any sort of delays from thefront end or fetching. Once a delay is encountered, such as a miss frominstruction cache 1820 or iTLB 1822, a NOP may be issued for executionas execution stages of processor 1804 may require input for all cycles.In one embodiment, the NOP or the subsequent instruction may be taggedwith an identifier of the front end or fetch delay. The identifier maybe specific to the type of delay. The identifier associated with theinstruction as it propagates through the execution pipeline of processor1804. In another embodiment, the front end or fetch delay may be countedin PMU 1826 or PEBS 1828 after the marked instruction is retired.Information about the instruction subsequent to the NOP may be recordedor reported so that the source of the delays may be identified. Bywaiting until the marked instruction is retired, mispredicted delays andother information may be removed from consideration. Furthermore, bywaiting until the marked instruction is retired, the counts of delayevents may be non-speculative. PMU 1826 or PEBS may issue interruptsbased upon collected data from retired, marked instructions.

In some embodiments, critical events may be filtered such that only suchcritical events contribute to the counts of delay events. Such criticalevents may include a subset of possible retired events that are likelyto cause performance slowdown.

FIG. 19 is an illustration of an example model-specific register forfront end event tracking, according to embodiments of the presentdisclosure. In one embodiment, FIG. 19 may illustrate an embodiment ofFE MSR 1830. Counters may be programmed with an event denoting usage ofFE MSR 1830, such as FRONTEND_RETIRED. The actual events to be trackedare identified within FE MSR 1830, as discussed below.

In one embodiment, FE MSR 1830 may include a field 1902 for a front-endevent threshold, above which reporting may occur. This field may be, forexample, three bits wide. This field may be used when bubble-countingand tracking is to be performed in an instruction decode queue. Thisfield may control the minimum number of allocation slots that shouldcontain a bubble in order for system 1800 to consider the bubble apotentially problematic event and have a latency counter increment. Theinstruction setting this field may identify a particular instance of FEMSR, if more than one is available on system 1800. Furthermore, theinstruction may include a value to set this field, as well as any othernecessary operands, fields, flags, or parameters.

In another embodiment, FE MSR 1830 may include a field 1904 for afront-end latency value, above which reporting may occur. This field maybe used when bubble-counting and tracking is to be performed in aninstruction decode queue. It specifies the minimum number of consecutivecycles that a bubble (or unarrived instruction) must occur in order forsystem 1800 to consider the bubble a potentially problematic event. Asthis field is set by users, it may be configurable and tunable to bemore or less tolerant of bubbles in the instruction decode queue. Bydefault, this value may be set to eight. This field may be, for example,twelve bits wide. The instruction may identify a particular instance ofFE MSR, if more than one is available on system 1800. Furthermore, theinstruction may include a value to set this field, as well as any othernecessary operands, fields, flags, or parameters.

In yet another embodiment, FE MSR 1830 may include a field 1906 fordenoting whether tracking or reporting will be filtered on criticalevents. Such critical events may be defined by a design of system 1800.Furthermore, these events are those front-end or fetch delays that aremore likely to cause delays in processing further down the pipeline. Ina further embodiment, field 1906 may be a bit wide. In another, furtherembodiment, field 1906 may be multiple bits wide, wherein each bit isassociated with a different type of critical aspect, or the bitstogether form a code or identifier of a critical condition. This fieldmay be set by the instruction SET_FE_CRITICAL. The instruction mayidentify a particular instance of FE MSR, if more than one is availableon system 1800. Furthermore, the instruction may include a value to setthis field, as well as any other necessary operands, fields, flags, orparameters.

In still yet another embodiment, FE MSR 1830 may include a field 1908 toidentify what events are to be tracked. Field 1908 may be three bitswide, eight bits wide, or any other size necessary to illustrate asufficient number of types of events that need to be identified. Thisfield may be set by the instruction SET_FE_EVENT. The instruction mayidentify a particular instance of FE MSR, if more than one is availableon system 1800. Furthermore, the instruction may include a value to setthis field, as well as any other necessary operands, fields, flags, orparameters.

Furthermore, FE MSR 1830 may include other reserved fields or spaces.

Any suitable number or kind of events may be tracked by system 1800. Thefollowing are provided as examples. In one embodiment, field 1908 maydesignate that a decoded stream buffer (DSB), which may also be adecoded micro-op cache, miss may be tracked. This may be denoted asDSB_MISS.

In another embodiment, field 1908 may designate that an instructioncache miss in of a first level may be tracked. This may be denoted as anevent known as L1I_MISS. This may require a true miss. Additionalrequests to the same cache line while the miss is in-flight might not becounted. Furthermore, field 1908 may designate that an instruction cachemiss in a second level of a cache hierarchy may be tracked. This may bedenoted as an event known as L2I_MISS or MLC_MISS. This may also requirea true miss and might not increment while the miss is in-flight.Furthermore, field 1908 may designated that an instruction cache miss ina third level of a cache hierarchy may be tracked. This may be denotedas an L3I_MISS event. More events may be defined per the memorysubsystem and cache organization in system 1800

In yet another embodiment, field 1908 may designate that an instructionTLB miss is to be tracked. This may be denoted as ITLB_MISS. In stillyet another embodiment, field 1908 may designate that data TLB missesare to be tracked. For example, a second-level data TLB in a hierarchymay have been missed. This may be denoted as STLB_MISS. These may berequired to be true misses, and updated values might not occur while themisses are in-flight.

In still yet another embodiment, field 1908 may designate that overalldelays are to be tracked. This may include invocation of a function orinstruction to read the number of bubbles, or NOPs or gaps, within anexecution pipeline due to fetch delays. This may be denoted asIDQ_READ_BUBBLES. Such returned data may be used in conjunction withlatency counter 1834, as further explained below. An IDQ read bubble mayinclude any allocation slot in an instruction decode queue that is notfilled by the front-end on any cycle where there is no back end stall.Using threshold and latency fields associated with this event allowscounting of IDQ read bubbles of various magnitudes and durations.Latency may control the number of cycles and threshold may control thenumber of allocation slots that contain bubbles. An event is generated,or counts, if and only if a sequence of at least [latency] consecutivecycles contains at least [threshold] number of bubbles each.

Once one or more events are set to be tracked, the events might betagged as they are encountered in a front end. The events may be taggedin any suitable manner. In one embodiment, the events may be tagged bysetting a bit on the responsible instruction, line, or micro operation.Multiple possible bits may be available for defining the type of event.The bit may be propagated through the execution pipeline until theinstruction is retired. Upon such retirement, the event may be logged orissued by, for example, PMU 1826 or PEBS 1828.

FIG. 20 is an illustration of example operation of system 1800 to trackfront end bottlenecks, according to embodiments of the presentdisclosure.

The portions of processor 1804 propagating event information shown inFIG. 20 are provided as examples. Other portions of processor 1804 maysimilarly propagate tags or other information denoting the existence ofthe front end events.

Taking an instruction cache 1820 miss as an example event, the front endof processor 1804 may attempt to load a cacheline from instruction cache1820 but the cacheline might not be available. The load may haveoriginated from a branch predict unit 2002. The miss may cause a frontend event tag 1832 to be set within the cacheline.

In one embodiment, as fetch unit 1804 reads the cacheline from the queueof branch predict unit 1804, it may mark or identify the instructionscontained within the fetched cacheline. Furthermore, fetch unit 1804 mayassociate any instructions that in turn use the marked cacheline (suchas a case where the instruction as fetched was incomplete). Fetch unit1804 may set an entry for the instruction with a bit in instructionqueue 2006 when the instruction is written to the queue. Wheninstruction decoder 2008 reads the instruction from instruction queue2006, it may observe that the entry includes the tag. Decoder 2008 maycreate microoperations for the instruction. Decoder 2008 may set the tagin the first resulting microoperation produced for the instruction, suchas the first microoperation. The microoperation, including the tag, maybe written to the instructions decoded queue 2010. When a register aliastable or allocator 2012 read the entry from instructions decoded queue2010, allocator 2012 may pass on the tag which may be stored with themicrooperation in a reorder buffer 2014 or other out-of-order executiontracking mechanism. Upon retirement, retirement unit 2016 may read thevalue from reorder buffer 2014 and increment counters or otherinformation. Actions to report the value may be handled by PMU 1826, ifthresholds are reached. The values of the counters may be read throughan interrupt. If the event was enabled for handling by PEBS 1828, a PEBSevent may be signaled.

The value may be reported via an event within an event framework forsystem 1800. For example, the event may be reported as aFRONTEND_RETIRED event. Users of system 1800, when receiving notice ofthe event, may be able identify the instructions that caused fetchingand front end issues. In one embodiment, this event may only countretired, non-speculative front end or fetch events. Only events fromtrue program execution path are counted. In another embodiment, theevent will count once per attempted cacheline access. If a cachelinecontains multiple instructions or accesses for which misses werecreated, the additional instances might not be counted. In yet anotherembodiment, if a multiple-uop instruction multiple events, these mightbe counted as a single event for the entire instruction. In anotherembodiment, if two instructions are fused using, for example,macro-fusion, and either or both cause a front end miss or fetch event,only one event will be counted for the combination. In yet anotherembodiment, if a miss occurs outside of an instruction boundary (forexample, due to processor handling of an architectural event), the eventmight be reported for the next instruction to retire.

FIG. 21 is an illustration of a latency counter, according toembodiments of the present disclosure. FIG. 21 may illustrate an exampleembodiment of latency counter 1834. Latency counter 1834 may be providedfor a given entity such as an application, denoted Tx.

In one embodiment, latency counter 1834 may be enabled through settingof an associated field in FE MSR 1830. In particular, setting the eventfield for IDQ_Read_Bubbles may cause invocation of an instruction toread the number of bubbles, or NOPs, in the pipeline created as a resultof delays in the front end or fetching. These may arise in aninstruction decode queue, such as element 2010 in FIG. 20. Thus, suchbubbles may be counted in the instruction decode queue.

A function call to IDQ_Read_Bubbles may return a count of the number ofbubbles generated. In one embodiment, a multiplexer 2102 may issue thecount if an identifier of the queue matches the entity for which frontend and fetch event tracking is to be performed.

In one embodiment, a comparator 2104 may compare the count against thethreshold value stored in FE MSR 1830. If the count is greater than thethreshold, then the count may be forwarded for possible furtherconsideration. Comparator 2104 may be implemented by a comparatorcircuit and multiplexer that compares the two values but outputs a setvalue only when the count is greater. In another embodiment, the outputof comparator 2104 may be routed to an OR gate 2106, which may determineif either comparator 2104 has found a count exceeding the threshold, orif a sticky bit reset has been issued by a decision block 2112,discussed in further detail below. The sticky bit may be cleared afterit is read. In yet another embodiment, the output of gate 2106 may berouted to a latency counter 2108 for the entity. Latency counter 2108may increment upon receiving a new input. Latency counter 2108 may be 12bits wide. Furthermore, latency counter 2108 may be implemented withcircuitry as an adder with a “one” as an input, a loopback as the otherinput, and latching input. The output may be routed to a comparator2110.

In one embodiment, comparator 2110 may compare the current latencycounter 2108 value with the latency threshold defined in FE MSR 1830.Comparator 2110 may be implemented by a comparator circuit andmultiplexer that compares the two values but outputs a set value onlywhen the two are equal. The output may be made to a decision block 2112implemented by a circuit to set the sticky bit reset, if the event codefrom FE MSR 1830 specifies IDQ_Read_Bubbles. Moreover, a specific eventtag, denoted PRECISE_FIT_TAG, may be set for microoperations that followa determination that latency counter 2108 has reached latency settingsfrom FE MSR 1830.

For example, if the threshold of the bubble count threshold is four andthe latency threshold is three, the PRECISE_FIT_TAG may be set formicrooperations that follow an allocation window that has had nomicro-operations (that is, it has had bubbles instead of actualinstructions arrive) for at least three cycles. If the threshold of thebubble count is two and the latency threshold is two, then a resultingevent will tag uops allocated following a window of a least two cycleswherein at least two bubbles were found.

FIG. 22 is a flowchart of a method 2200 for tracking entry and exit tomonitored regions of memory, according to embodiments of the presentdisclosure. Method 2200 may begin at any suitable point and may executein any suitable order. In one embodiment, method 2200 may begin at 2205.In various embodiments, method 2200 may be performed during theexecution of a processor such as processor 1804 or elements such asfront end 1806, fetch stage 1803, PMU 1826, or PEBS 1828. Moreover,method 2200 may performed by any suitable combination of the elements ofprocessor 1804 or other elements.

At 2205, it may be determined whether an instruction for enabling ordisabling tracking of front end or fetch bottlenecks has been received,executed, and retired. If such an instruction has been received, method2200 may proceed to 2210. Otherwise, method 2200 may proceed to 2215. Inone embodiment, at 2210, if such an instruction has been received,tracking may be enabled or disabled as appropriate. Moreover, parametersof such tracking may be applied to, for example, an MSR. Such parametersmay include, for example, parameters: bubble count thresholds, latencythresholds, critical filter identifiers, and event identifiers. Method2200 may proceed to 2215.

At 2215, it may be determined whether another instruction, which may becandidate for tracking, has been received. If not, method 2200 mayproceed to 2240. If a candidate for tracking has been received, method2200 may proceed to 2220.

At 2220, in one embodiment it may be determined whether a fetch or frontend event, such as an instruction cache miss, has occurred that matchesan event code enabled in the MSR. Such matching may be performed bycounters enabled by performance monitoring schemes. If so, method 2200may proceed to 2225. Otherwise, method 2200 may proceed to 2240.

At 2225, in one embodiment a tag identifying fetch events, front endevents, or the particular event encountered by the instruction may beattached to the instruction. The tag may be propagated throughtranslation, transformation, decoding, allocation, and execution of theinstruction through the pipeline. At 2230, in another embodiment it maybe determined whether the instruction has been retired. An instructionmight not have been retired, for example, because of a branchmisprediction or other out-of-order execution error. If the instructionwill not be retired, the event tag may be discarded or ignored andmethod 2200 may proceed to 2240. If the instruction has retired, method2200 may proceed to 2235. In yet another embodiment, at 2235 an eventfor the event code and identifying the instruction may be issued. Method2220 may proceed to 2240.

At 2240, in one embodiment it may be determined whether bubble trackinghas been enabled. Such bubble tracking may be designated by the MSR. Thebubble tracking may be initiated in an instruction decode queue. If suchtracking has not been enabled, method 2200 may proceed to 2260.Otherwise method 2200 may proceed to 2245.

At 2245, in one embodiment it may be determined whether the count ofbubbles in the instruction decode queue is greater than a thresholddesignated by the MSR. If not, method 2200 may proceed to 2260. If thecount is greater than the threshold, then in another embodiment at 2250it may be determined whether a number of cycles for which the bubbleshave exceeded the count threshold is greater than a latency setting. Alatency or cycle counter may be incremented. If the determined number ofcycles is not greater than the latency setting, method 2200 may proceedto 2260. If the determined number of cycles is greater than the latencysetting, in yet another embodiment at 2255 a tag identifying the bubblecondition may be generated. The tag may be generated for a firstinstruction after a present allocation window with NOPs ends. Method2200 may return to 2225 to attach the tag to the instruction.

At 2260, it may be determined whether method 2200 is to repeat. If not,method 2200 may terminate.

Method 2200 may be initiated by any suitable criteria. Furthermore,although method 2200 describes an operation of particular elements,method 2200 may be performed by any suitable combination or type ofelements. For example, method 2200 may be implemented by the elementsillustrated in FIGS. 1-21 or any other system operable to implementmethod 2200. As such, the preferred initialization point for method 2200and the order of the elements comprising method 2200 may depend on theimplementation chosen. In some embodiments, some elements may beoptionally omitted, reorganized, repeated, or combined.

Embodiments of the mechanisms disclosed herein may be implemented inhardware, software, firmware, or a combination of such implementationapproaches. Embodiments of the disclosure may be implemented as computerprograms or program code executing on programmable systems comprising atleast one processor, a storage system (including volatile andnon-volatile memory and/or storage elements), at least one input device,and at least one output device.

Program code may be applied to input instructions to perform thefunctions described herein and generate output information. The outputinformation may be applied to one or more output devices, in knownfashion. For purposes of this application, a processing system mayinclude any system that has a processor, such as, for example; a digitalsignal processor (DSP), a microcontroller, an application specificintegrated circuit (ASIC), or a microprocessor.

The program code may be implemented in a high level procedural or objectoriented programming language to communicate with a processing system.The program code may also be implemented in assembly or machinelanguage, if desired. In fact, the mechanisms described herein are notlimited in scope to any particular programming language. In any case,the language may be a compiled or interpreted language.

One or more aspects of at least one embodiment may be implemented byrepresentative instructions stored on a machine-readable medium whichrepresents various logic within the processor, which when read by amachine causes the machine to fabricate logic to perform the techniquesdescribed herein. Such representations, known as “IP cores” may bestored on a tangible, machine-readable medium and supplied to variouscustomers or manufacturing facilities to load into the fabricationmachines that actually make the logic or processor.

Such machine-readable storage media may include, without limitation,non-transitory, tangible arrangements of articles manufactured or formedby a machine or device, including storage media such as hard disks, anyother type of disk including floppy disks, optical disks, Compact DiskRead-Only Memories (CD-ROMs), Compact Disk Rewritables (CD-RWs), andmagneto-optical disks, semiconductor devices such as Read-Only Memories(ROMs), Random Access Memories (RAMs) such as Dynamic Random AccessMemories (DRAMs), Static Random Access Memories (SRAMs), ErasableProgrammable Read-Only Memories (EPROMs), flash memories, ElectricallyErasable Programmable Read-Only Memories (EEPROMs), magnetic or opticalcards, or any other type of media suitable for storing electronicinstructions.

Accordingly, embodiments of the disclosure may also includenon-transitory, tangible machine-readable media containing instructionsor containing design data, such as Hardware Description Language (HDL),which defines structures, circuits, apparatuses, processors and/orsystem features described herein. Such embodiments may also be referredto as program products.

In some cases, an instruction converter may be used to convert aninstruction from a source instruction set to a target instruction set.For example, the instruction converter may translate (e.g., using staticbinary translation, dynamic binary translation including dynamiccompilation), morph, emulate, or otherwise convert an instruction to oneor more other instructions to be processed by the core. The instructionconverter may be implemented in software, hardware, firmware, or acombination thereof. The instruction converter may be on processor, offprocessor, or part-on and part-off processor.

Thus, techniques for performing one or more instructions according to atleast one embodiment are disclosed. While certain exemplary embodimentshave been described and shown in the accompanying drawings, it is to beunderstood that such embodiments are merely illustrative of and notrestrictive on other embodiments, and that such embodiments not belimited to the specific constructions and arrangements shown anddescribed, since various other modifications may occur to thoseordinarily skilled in the art upon studying this disclosure. In an areaof technology such as this, where growth is fast and furtheradvancements are not easily foreseen, the disclosed embodiments may bereadily modifiable in arrangement and detail as facilitated by enablingtechnological advancements without departing from the principles of thepresent disclosure or the scope of the accompanying claims.

Embodiments of the present disclosure may include a processor. Invarious embodiments, the processor may include a front end withcircuitry and logic to receive an event instruction to enablesupervision of a front end event that will delay execution ofinstructions, an execution unit with circuitry and logic to execute theevent instruction and set a register with parameters for supervision ofthe front end event, a retirement stage with circuitry and logic toretire the event instruction, a counter, and a performance monitoringunit. In any of the above embodiments, the front end further may includelogic and circuitry to receive a candidate instruction and match thecandidate instruction to the front end event. In any of the aboveembodiments, the counter may include logic and circuitry to generate thefront end event upon retirement of the candidate instruction. In any ofthe above embodiments, the front end may include logic and circuitry tomark the candidate instruction to indicate the front end event. In anyof the above embodiments, the instruction may retain the mark untilretirement. In any of the above embodiments, the front end may includelogic and circuitry to ignore the front end event when the candidateinstruction is never retired. In any of the above embodiments, theperformance monitoring unit includes logic to report an address of thecandidate instruction based upon the front end event and retirement ofthe candidate instruction. In any of the above embodiments, aninstruction decode queue may be included, and may itself include logicand circuitry to report a number and position of bubbles. In any of theabove embodiments, the counter may include logic and circuitry togenerate the front end event further based upon the number of bubblesreported. In any of the above embodiments, a latency counter may beinclude, itself to include logic and circuitry to assign an event tag toa subsequent instruction based upon a number of cycles for which theinstruction decode queue includes bubbles. In any of the aboveembodiments, the subsequent instruction may be a first instruction afteran allocation window including bubbles. In any of the above embodiments,the instruction decode queue may include logic and circuitry to report anumber and position of bubbles. In any of the above embodiments, thelatency counter may include logic and circuitry to assign an event tagto a subsequent instruction based upon the number of bubbles and upon anumber of cycles for which the number of bubbles are within theinstruction decode queue. In any of the above embodiments, the counterfurther includes logic to filter the front end event based upon acritical filter. The critical filter may indicate a likelihood that thefront end event will cause execution delays

Embodiments of the present disclosure may include a system. In variousembodiments, the system may include a front end with circuitry and logicto receive an event instruction to enable supervision of a front endevent that will delay execution of instructions, an execution unit withcircuitry and logic to execute the event instruction and set a registerwith parameters for supervision of the front end event, a retirementstage with circuitry and logic to retire the event instruction, acounter, and a performance monitoring unit. In any of the aboveembodiments, the front end further may include logic and circuitry toreceive a candidate instruction and match the candidate instruction tothe front end event. In any of the above embodiments, the counter mayinclude logic and circuitry to generate the front end event uponretirement of the candidate instruction. In any of the aboveembodiments, the front end may include logic and circuitry to mark thecandidate instruction to indicate the front end event. In any of theabove embodiments, the instruction may retain the mark until retirement.In any of the above embodiments, the front end may include logic andcircuitry to ignore the front end event when the candidate instructionis never retired. In any of the above embodiments, the performancemonitoring unit includes logic to report an address of the candidateinstruction based upon the front end event and retirement of thecandidate instruction. In any of the above embodiments, an instructiondecode queue may be included, and may itself include logic and circuitryto report a number and position of bubbles. In any of the aboveembodiments, the counter may include logic and circuitry to generate thefront end event further based upon the number of bubbles reported. Inany of the above embodiments, a latency counter may be include, itselfto include logic and circuitry to assign an event tag to a subsequentinstruction based upon a number of cycles for which the instructiondecode queue includes bubbles. In any of the above embodiments, thesubsequent instruction may be a first instruction after an allocationwindow including bubbles. In any of the above embodiments, theinstruction decode queue may include logic and circuitry to report anumber and position of bubbles. In any of the above embodiments, thelatency counter may include logic and circuitry to assign an event tagto a subsequent instruction based upon the number of bubbles and upon anumber of cycles for which the number of bubbles are within theinstruction decode queue. In any of the above embodiments, the counterfurther includes logic to filter the front end event based upon acritical filter. The critical filter may be to indicate a likelihoodthat the front end event will cause execution delays.

Embodiments of the present disclosure may include an apparatus. Invarious embodiments, the apparatus may include means for receiving anevent instruction to enable supervision of a front end event that willdelay execution of instructions, means for executing the eventinstruction and setting a register with parameters for supervision ofthe front end event, and means for retiring the event instruction. Inany of the above embodiments, the apparatus may further include meansfor receiving a candidate instruction and matching the candidateinstruction to the front end event. In any of the above embodiments, theapparatus may further include means for generating the front end eventupon retirement of the candidate instruction. In any of the aboveembodiments, the apparatus may further include means for marking thecandidate instruction to indicate the front end event. In any of theabove embodiments, the instruction may retain the mark until retirement.In any of the above embodiments, the apparatus may further include meansfor ignoring the front end event when the candidate instruction is neverretired. In any of the above embodiments, the apparatus may furtherinclude means for reporting an address of the candidate instructionbased upon the front end event and retirement of the candidateinstruction. In any of the above embodiments, the apparatus may furtherinclude means for reporting a number and position of bubbles. In any ofthe above embodiments, the apparatus may further include means forgenerating the front end event further based upon the number of bubblesreported. In any of the above embodiments, the apparatus may furtherinclude means for assigning an event tag to a subsequent instructionbased upon a number of cycles for which the instruction decode queueincludes bubbles. In any of the above embodiments, the subsequentinstruction may be a first instruction after an allocation windowincluding bubbles. In any of the above embodiments, the apparatus mayfurther include means for reporting a number and position of bubbles. Inany of the above embodiments the apparatus may further include means forassigning an event tag to a subsequent instruction based upon the numberof bubbles and upon a number of cycles for which the number of bubblesare within the instruction decode queue. In any of the aboveembodiments, the apparatus may further include means for filtering thefront end event based upon a critical filter. The critical filter mayindicate a likelihood that the front end event will cause executiondelays

Embodiments of the present disclosure may include a method. In variousembodiments, the method may include receiving an event instruction toenable supervision of a front end event that will delay execution ofinstructions, executing the event instruction and setting a registerwith parameters for supervision of the front end event, and retiring theevent instruction. In any of the above embodiments, the method mayfurther include receiving a candidate instruction and matching thecandidate instruction to the front end event. In any of the aboveembodiments, the method may further include generating the front endevent upon retirement of the candidate instruction. In any of the aboveembodiments, the method may further include marking the candidateinstruction to indicate the front end event. In any of the aboveembodiments, the instruction may retain the mark until retirement. Inany of the above embodiments, the method may further include ignoringthe front end event when the candidate instruction is never retired. Inany of the above embodiments, the method may further include reportingan address of the candidate instruction based upon the front end eventand retirement of the candidate instruction. In any of the aboveembodiments, the method may further include reporting a number andposition of bubbles. In any of the above embodiments, t the method mayfurther include generating the front end event further based upon thenumber of bubbles reported. In any of the above embodiments, the methodmay further include assigning an event tag to a subsequent instructionbased upon a number of cycles for which the instruction decode queueincludes bubbles. In any of the above embodiments, the subsequentinstruction may be a first instruction after an allocation windowincluding bubbles. In any of the above embodiments, the method mayfurther include reporting a number and position of bubbles. In any ofthe above embodiments the method may further include assigning an eventtag to a subsequent instruction based upon the number of bubbles andupon a number of cycles for which the number of bubbles are within theinstruction decode queue. In any of the above embodiments, the methodmay further include filtering the front end event based upon a criticalfilter. The critical filter may indicate a likelihood that the front endevent will cause execution delays.

What is claimed is:
 1. A processor, comprising: a front end circuitry toreceive an event instruction to enable supervision of a front end eventthat causes execution of instructions to be delayed; an execution unitcomprising circuitry to execute the event instruction and set a registerwith parameters for supervision of the front end event; a retirementstage comprising circuitry to retire the event instruction; aninstruction decode queue; a latency counter to: identify a number ofbubbles within the instruction decode queue; determine that the numberof bubbles exceeds a threshold; and mark a subsequent instruction basedupon the determination that the number of bubbles exceeds the threshold;and a performance monitoring unit comprising circuitry to: generate thefront end event upon retirement of the subsequent instruction based onpresence of the mark.
 2. The processor of claim 1, further comprisingcircuitry to: filter the front end event based upon a critical filter,the critical filter may indicate a likelihood that the front end eventwill cause execution delays.
 3. The processor of claim 1, wherein theperformance monitoring unit is to report an address of the subsequentinstruction based upon the front end event and retirement of thesubsequent instruction.
 4. The processor of claim 1, wherein thethreshold comprises a number of cycles for which the instruction decodequeue includes bubbles, and the subsequent instruction comprises a firstinstruction after an allocation window including bubbles.
 5. Theprocessor of claim 1, wherein the threshold comprises a number of cyclesfor which the number of bubbles are within the instruction decode queue.6. A method comprising, within a processor: receiving an eventinstruction to enable supervision of a front end event that will delayexecution of instructions; executing the event instruction and setting aregister with parameters for supervision of the front end event;retiring the event instruction; identifying a number of bubbles withinan instruction decode queue of the processor; determining that thenumber of bubbles exceeds a threshold; marking a subsequent instructionwith an event tag based upon the determination that the number ofbubbles exceeds the threshold; and generating the front end event uponretirement of the subsequent instruction based on presence of the eventtag.
 7. The method of claim 6, further comprising: filtering the frontend event based upon a critical filter, the critical filter may indicatea likelihood that the front end event will cause execution delays. 8.The method of claim 6, further comprising reporting an address of thesubsequent instruction based upon the front end event and retirement ofthe subsequent instruction.
 9. The method of claim 6, wherein thesubsequent instruction comprises a first instruction after an allocationwindow including bubbles.
 10. A system comprising: a front end includinga first logic to receive an event instruction to enable supervision of afront end event that will delay execution of instructions; an executionunit including a second logic to execute the event instruction and set aregister with parameters for supervision of the front end event; aretirement stage including a third logic to retire the eventinstruction; an instruction decode queue; a latency counter to: identifya number of bubbles within the instruction decode queue; determine thatthe number of bubbles exceeds a threshold; and assign an event tag to asubsequent instruction based upon the determination that the number ofbubbles exceeds the threshold; and a performance monitoring unitcomprising circuitry to: generate the front end event upon retirement ofthe subsequent instruction based on presence of the event tag.
 11. Thesystem of claim 10, further comprising circuitry to: filter the frontend event based upon a critical filter, the critical filter may indicatea likelihood that the front end event will cause execution delays. 12.The system of claim 10, wherein the performance monitoring unit is toreport an address of the subsequent instruction based upon the front endevent and retirement of the subsequent instruction.
 13. The system ofclaim 10, wherein the threshold comprises a number of cycles for whichthe instruction decode queue includes bubbles, and the subsequentinstruction comprises a first instruction after an allocation windowincluding bubbles.
 14. The system of claim 10, wherein the thresholdcomprises a number of cycles for which the number of bubbles are withinthe instruction decode queue.